Tuesday 19 June 2018
Wednesday 25 April 2018
Hikvision announces its financial report for the first quarter of 2018 and continues to maintain rapid growth
On April 20, the global security industry leader, China Hikvision released the first quarterly report of 2018. The report shows that in the first quarter of 2018, Hikvision's operating income was 9.365 billion yuan (about 1.486 billion US dollars), an increase of 32.95%; net profit attributable to shareholders of listed companies was 1.816 billion yuan (about 288 million yuan). USD), an increase of 22.64% over the same period of last year.
This is an amazing response. Compared to the RMB 7.044 billion in operating income in the first quarter of last year, Hikvision broke through the RMB 9 billion mark in the first quarter of 2018. While publishing the financial report for the first quarter of 2018, Hikvision also released the 2017 annual report. In the annual report, in addition to the annual operating revenue of RMB 41.905 billion (approximately US$ 6.65 billion), the net profit attributable to shareholders of the listed company was 9.411 billion yuan (approximately US$ 1.49 billion), and other basic data points of concern to us. There are a few different points. For example, after five years of development, its civil security business achieved revenue of more than RMB 1 billion in 2017 and achieved profitability in the year.
With the advent of the era of intelligentization in the security industry, Hikvision continues to focus on innovation and R&D in the layout of artificial intelligence technology. Looking back at Hikvision’s activities in the past three months, we can see that apart from closely following the market development trend, Hikvision’s prominent quarterly newspapers in the first quarter are still inseparable from their pursuit of new careers. The exploration of unknown things, through intelligent products and technologies, highlights the true nature of its security giant.
AI platform will officially open to the outside world
At the 2018 AI Cloud Ecological International Summit in Hangzhou on March 30th, its president Hu Yangzhong stated that in order to allow more partners to participate in the co-building and sharing of the AI Cloud ecosystem, Hikvision will be fully open, including openness. AI Cloud's software platform, providing open training systems and AI service capabilities, data annotation and data sharing.
It is reported that at the China CPSE Announcement in October 2017, the Hai Kang AI Cloud architecture based on the cloud center, edge domain, and edge nodes was first proposed, introducing AI technology from products to solutions. Up till now, the application of Hikvision's AI Cloud+ industry solutions has gradually landed in more than 30 provincial administrative regions in China, providing AI solution services for emergency command, livelihood services, and urban operations, leading the industry in a new direction.
This is an amazing response. Compared to the RMB 7.044 billion in operating income in the first quarter of last year, Hikvision broke through the RMB 9 billion mark in the first quarter of 2018. While publishing the financial report for the first quarter of 2018, Hikvision also released the 2017 annual report. In the annual report, in addition to the annual operating revenue of RMB 41.905 billion (approximately US$ 6.65 billion), the net profit attributable to shareholders of the listed company was 9.411 billion yuan (approximately US$ 1.49 billion), and other basic data points of concern to us. There are a few different points. For example, after five years of development, its civil security business achieved revenue of more than RMB 1 billion in 2017 and achieved profitability in the year.
With the advent of the era of intelligentization in the security industry, Hikvision continues to focus on innovation and R&D in the layout of artificial intelligence technology. Looking back at Hikvision’s activities in the past three months, we can see that apart from closely following the market development trend, Hikvision’s prominent quarterly newspapers in the first quarter are still inseparable from their pursuit of new careers. The exploration of unknown things, through intelligent products and technologies, highlights the true nature of its security giant.
AI platform will officially open to the outside world
At the 2018 AI Cloud Ecological International Summit in Hangzhou on March 30th, its president Hu Yangzhong stated that in order to allow more partners to participate in the co-building and sharing of the AI Cloud ecosystem, Hikvision will be fully open, including openness. AI Cloud's software platform, providing open training systems and AI service capabilities, data annotation and data sharing.
It is reported that at the China CPSE Announcement in October 2017, the Hai Kang AI Cloud architecture based on the cloud center, edge domain, and edge nodes was first proposed, introducing AI technology from products to solutions. Up till now, the application of Hikvision's AI Cloud+ industry solutions has gradually landed in more than 30 provincial administrative regions in China, providing AI solution services for emergency command, livelihood services, and urban operations, leading the industry in a new direction.
Tuesday 3 April 2018
How Does Machine Vision Help China Security Industry Go to Intelligent Era?
Under the background of the current era of smart manufacturing industry 4.0 with high-end equipment manufacturing as the core, with the deepening of the "Made in China 2025" strategy, the industrial intelligent robot industry market is showing a growing momentum, which serves as the machine vision function of the "eyes" of industrial robots. Must not be.
The security technology is constantly changing. After the industry has completed networking and high-definition, intelligent applications have become a hot technology for security manufacturers. It should be said that from 2012 onwards, the Chinese security industry has begun to conduct in-depth research and development on how to make intelligent applications of products and systems, leading to a wave of technological trends. If intelligent video analysis is the 2.0 version of smart security applications, then machine vision will open the era of China's smart security application 2.0. This is a new application space for smart security.
Accurately grasp the research content of machine vision
To explore the application of machine vision, you first need to accurately grasp what is machine vision, and distinguish it from the current hot and overlapping artificial intelligence and deep learning.
AI has the largest outreach, including machine vision, deep learning, robotics, biometrics, and natural language processing. It can be seen that artificial intelligence includes deep learning and machine vision. It studies the laws of human intelligence activities, constructs artificial systems with certain intelligence, and studies how to let computers accomplish tasks that previously required human intelligence to be competent, that is, how to study The computer software and hardware are used to simulate the basic theories, methods, and techniques of human intelligence.
Deep learning is a new field of artificial intelligence research. Its motivation lies in building and simulating the human brain to analyze and learn the neural network. It imitates the mechanism of the human brain to interpret data such as video, sound, and text. Deep learning is extremely popular in China's security industry. Face and vehicle recognition technologies are based on deep learning. The reason is that the key element of deep learning is data, and more than 60% of the total amount of large data is video surveillance data. Therefore, deep learning has been applied in all aspects of the security industry: face detection, vehicle detection, and non-machine Motor vehicle testing face recognition, vehicle brand recognition, pedestrian search, vehicle detection, human attributes, abnormal face detection, crowd behavior analysis, and tracking of various interest targets.
Machine vision is a branch of artificial intelligence that is rapidly developing. Simply put, machine vision is the use of machines instead of the human eye to make measurements and judgments. Through the CMOS or CCD image sensor will be captured target converted into an image signal, transmitted to a dedicated image processing system, get the morphological information of the target, according to pixel distribution and brightness, color and other information, into a digital signal; image system for these The signal performs various operations to extract the characteristics of the target, and further controls the equipment operation in the field according to the result of the discrimination.
Machine vision is mainly used for image recognition. Therefore, machine vision is widely used in face recognition, license plate recognition, and other aspects. Taking the intelligent transportation industry as an example, machine vision has the advantages of low cost, strong stability, high accuracy, and wide application range. It has been widely used in the traffic monitoring systems of highways and highways in various countries and is embodied in license plates. Identification, body color identification, vehicle identification, illegal identification, traffic statistics, flow control, etc.
At this time, some people may have doubts. There is so much overlap between machine vision and deep learning. Whether the two are different expressions of the same concept in the security industry. Actually, if only from the video surveillance industry, the learning algorithm is a higher level application of machine vision, because a large number of data samples are captured based on the huge sample acquisition, and machine vision is mainly in feature sensing, image preprocessing, feature extraction, and features. The screening surface is good, that is to say, machine vision is mainly in the feature recognition refining section, and deep learning is the combination of features and learning, such as the use of feature sensing and extraction to predict data.
Machine vision is the core technology of security applications
In June of this year, the authoritative organization of Business Wire announced that the global machine vision market is in rapid development and it is expected that by the end of 2025, the market value will exceed 19.2 billion US dollars. To date, machine vision technology has not only been successfully applied in many fields but also has gradually expanded its application scope. From the initial electronics manufacturing and semiconductor manufacturing companies, it has developed into security, packaging, automotive, transportation and printing industries.
Security is one of the main battlefields of machine vision applications. There are several major new technology applications that bring changes to the security industry:
1. Target recognition
Target recognition technology and stable tracking method are key technologies for the development of machine vision in security. It has been widely used in many fields, such as fingerprint identification, face recognition, iris recognition for identity verification, and license plate recognition in applications such as intelligent traffic management, vehicle detection, and parking lot management. A target recognition system should have the ability to detect, classify, and identify targets in complex backgrounds and various weather conditions so that the target can be continuously tracked.
In recent years, the target recognition technology has gradually moved from theoretical exploration to laboratory simulation to practical application. The technical method has also been identified from the classical statistical model, and it has been moving toward knowledge, model, multi-sensor information fusion and deep learning neural network recognition methods. Evolution.
2. Target tracking
Motion target tracking is the process of determining the position of the same object in different frames of an image sequence. Its main working method is to select good target features and adopt appropriate search methods. According to the matching principle, the existing tracking methods are divided into tracking based on models, regions, features, and active contours, which are the capabilities of machine vision.
3. Binocular technology
The core purpose of binocular stereo technology is to improve the accuracy of recognition. Because the three-dimensional geometric information of the object is contained in the field of view formed by the stereoscopic vision technology, the detection rule can be effectively set, and interference factors such as light and shadow can be eliminated, and the accuracy of the intelligent analysis can be greatly improved. When China's leading security companies detected PTZ cameras at high altitudes, they discovered that they were all based on machine vision binocular technology. Their recognition rates for humans and objects were greatly improved, and they used dual cameras or multiple cameras to space within the visual field. The three-dimensional position coordinates and attitude of the free moving body are measured with high precision, the centroid position of the moving target is determined, and the moving target is highly accurately tracked according to the calibration result.
4. Multi-PTZ speed dome camera machine linkage tracking technology
Multi-ball machine linkage tracking technology is based on single ball machine intelligent tracking technology. From the perspective of application, it is possible to upgrade the single-point monitoring of ordinary trackball cameras to the seamless relay tracking of a single target in the system. In conjunction with the use of electronic maps, it is easy to implement high security level areas. Seamless tracking, and achieve high-level security requirements such as target trajectory description and criminal behavior warning. The realization of multi-camera linkage tracking technology requires multi-target recognition and tracking technology. In the application, a billiard machine is usually set as an initiation point to analyze the intelligent behavior of the target in a wide area, and the multiple targets monitored at the same time are sorted according to a predetermined strategy, and the intelligent tracking ball is commanded according to the sequence. The machines track the monitoring targets one by one. Compared with single-target tracking, the key point of multi-target tracking technology is the data correlation problem. That is, a unified coordinate system is established so that the originating dome camera can transmit the target coordinate information to the tracking dome camera and realize linkage tracking.
5. Video summary and video retrieval for hindsight applications
With the popularization of monitoring probes, massive video data is stored in the monitoring system. In the current manual viewing mode, traditional methods need to be played from beginning to end. It often takes several times longer than the original video to complete the review. A large number of people need to work overtime for several weeks to review the video. In order to avoid omissions and errors, we must increase the method of human input. How to reduce the timeliness, cost, and fatigue caused by manual viewing and playback, and how to accurately identify the information that needs to be obtained in videos with different resolutions and resolutions. Based on the above requirements, security manufacturers Research and development of video abstracts, video retrieval and other technical means, which is one of the research content of machine vision.
Machine vision opens smart security applications
From the above introduction and analysis, we can probably understand that machine vision has a certain understanding, but what it can do in the security industry and what changes it brings to the industry deserve attention. Let's take a look at the value of machine vision applications first:
On July 16, 2017, in the Wal-Mart Supermarket in Xixiang Golden Harbor, Bao'an District, Shenzhen, a man was injured by a kitchen knife and killed 2 people and injured 9 others. Today, surveillance can be found everywhere in large and small shopping malls, becoming almost essential for every mall store. Obviously, the use of monitoring is very useful for the daily management and security of shops. However, in reality, current human-powered monitoring equipment has a huge security loophole, which makes security work to a certain extent useless. The intelligent security system based on machine vision technology can identify images from many video materials, search for information such as suspicious characters, identify and screen high-risk individuals, and automatically identify suspicious objects from multiple monitoring devices, such as kitchen knives. And so on, automatic alarms are issued to remind security personnel.
In addition to the preventive and deterrent functions in advance, the video summary and retrieval of machine vision is an intelligent technology for ex-post applications. Among them, the video summary technology enables 24-hour video to be made into brief videos of a few minutes to become a reality, which will greatly improve the efficiency of mass video surveillance video analysis. Video retrieval technology mainly relies on the video algorithm to preprocess the video. After the video content is structured, the effective information in the video content is extracted, and after marking or related processing, the human can perform description through various attributes. Quick search.
It can be said that if the above cases have intelligent security products for machine vision, such tragedies will certainly not occur.
How does machine vision apply the new era of China's security?
1. Establish a face capture database with public security agencies
In areas where people are crowded in public places, such as Tiananmen Square, railway stations and other sensitive public places, relevant machine vision products are continuously refined with the development of technology. The product can establish a face recognition comparison system with a public security agency, establish a face capture database, archive face information, and establish relationships with personal identities. Face search, blacklist deployment, and stranger identification are used in the actual application process. A number of intelligent analysis capabilities greatly increase the effectiveness of video surveillance and prevent criminals from becoming invisible.
2. Identification and Control of Vehicles in Intelligent Transportation
In the transportation industry, compared with other identification technologies, machine vision has the advantages of low cost, strong stability, high accuracy, and a wide range of applications. It has been widely used in traffic monitoring systems for highways and highways at home and abroad. , such as license plate recognition, body color identification, vehicle identification, illegal identification, traffic statistics, flow control.
3. Face deployment
Face recognition is based on human facial feature information for identification, mainly through the camera to capture the face or video stream containing the face, and then in the picture or video stream for face detection and capture, facial feature extraction, in order to capture The face is compared with the face in the database. At present, many leading security companies in China, such as Sysvideo, have introduced a machine vision face placement control system that can be adapted to various traffic arteries, accommodation sites, smart buildings, large chain shopping malls, safe cities and other occasions, with face deployment The core business functions such as graph search and user management.
Some companies are working hard to change security with machine vision. For example 2017 China Shanghai International Machine Vision Exhibition VisionChina held in Shanghai, Hikvision robot technology and design are derived from machine vision; Zhejiang Dahua and Intel jointly push the machine vision business. On June 29 this year, Corel Technology and Intel released a series of machine vision products such as the 9MP/12MP high-performance small area array camera and the 50MP CoaX Press large area array camera. In addition, the general-purpose three-dimensional real-time imaging technology developed by Beijing Qingying Machine Vision Technology Co., Ltd. has the common characteristics and "two major characteristics", filling the gap in the field of Chinese machine vision; Sysvideo has introduced a license plate recognition camera and face recognition camera based on deep learning algorithms.
Conclusion
China's security industry has such a view that machine vision has formed a closed loop of intelligent video analysis. From feature extraction to the application, it has greatly enhanced the application of smart security industry. It is Smart Security 2.0. For this reason, a smart security storm triggered by machine vision has already blew the world and is rapidly spreading, changing the smart security landscape.
The security technology is constantly changing. After the industry has completed networking and high-definition, intelligent applications have become a hot technology for security manufacturers. It should be said that from 2012 onwards, the Chinese security industry has begun to conduct in-depth research and development on how to make intelligent applications of products and systems, leading to a wave of technological trends. If intelligent video analysis is the 2.0 version of smart security applications, then machine vision will open the era of China's smart security application 2.0. This is a new application space for smart security.
Accurately grasp the research content of machine vision
To explore the application of machine vision, you first need to accurately grasp what is machine vision, and distinguish it from the current hot and overlapping artificial intelligence and deep learning.
AI has the largest outreach, including machine vision, deep learning, robotics, biometrics, and natural language processing. It can be seen that artificial intelligence includes deep learning and machine vision. It studies the laws of human intelligence activities, constructs artificial systems with certain intelligence, and studies how to let computers accomplish tasks that previously required human intelligence to be competent, that is, how to study The computer software and hardware are used to simulate the basic theories, methods, and techniques of human intelligence.
Deep learning is a new field of artificial intelligence research. Its motivation lies in building and simulating the human brain to analyze and learn the neural network. It imitates the mechanism of the human brain to interpret data such as video, sound, and text. Deep learning is extremely popular in China's security industry. Face and vehicle recognition technologies are based on deep learning. The reason is that the key element of deep learning is data, and more than 60% of the total amount of large data is video surveillance data. Therefore, deep learning has been applied in all aspects of the security industry: face detection, vehicle detection, and non-machine Motor vehicle testing face recognition, vehicle brand recognition, pedestrian search, vehicle detection, human attributes, abnormal face detection, crowd behavior analysis, and tracking of various interest targets.
Machine vision is a branch of artificial intelligence that is rapidly developing. Simply put, machine vision is the use of machines instead of the human eye to make measurements and judgments. Through the CMOS or CCD image sensor will be captured target converted into an image signal, transmitted to a dedicated image processing system, get the morphological information of the target, according to pixel distribution and brightness, color and other information, into a digital signal; image system for these The signal performs various operations to extract the characteristics of the target, and further controls the equipment operation in the field according to the result of the discrimination.
Machine vision is mainly used for image recognition. Therefore, machine vision is widely used in face recognition, license plate recognition, and other aspects. Taking the intelligent transportation industry as an example, machine vision has the advantages of low cost, strong stability, high accuracy, and wide application range. It has been widely used in the traffic monitoring systems of highways and highways in various countries and is embodied in license plates. Identification, body color identification, vehicle identification, illegal identification, traffic statistics, flow control, etc.
At this time, some people may have doubts. There is so much overlap between machine vision and deep learning. Whether the two are different expressions of the same concept in the security industry. Actually, if only from the video surveillance industry, the learning algorithm is a higher level application of machine vision, because a large number of data samples are captured based on the huge sample acquisition, and machine vision is mainly in feature sensing, image preprocessing, feature extraction, and features. The screening surface is good, that is to say, machine vision is mainly in the feature recognition refining section, and deep learning is the combination of features and learning, such as the use of feature sensing and extraction to predict data.
Machine vision is the core technology of security applications
In June of this year, the authoritative organization of Business Wire announced that the global machine vision market is in rapid development and it is expected that by the end of 2025, the market value will exceed 19.2 billion US dollars. To date, machine vision technology has not only been successfully applied in many fields but also has gradually expanded its application scope. From the initial electronics manufacturing and semiconductor manufacturing companies, it has developed into security, packaging, automotive, transportation and printing industries.
Security is one of the main battlefields of machine vision applications. There are several major new technology applications that bring changes to the security industry:
1. Target recognition
Target recognition technology and stable tracking method are key technologies for the development of machine vision in security. It has been widely used in many fields, such as fingerprint identification, face recognition, iris recognition for identity verification, and license plate recognition in applications such as intelligent traffic management, vehicle detection, and parking lot management. A target recognition system should have the ability to detect, classify, and identify targets in complex backgrounds and various weather conditions so that the target can be continuously tracked.
In recent years, the target recognition technology has gradually moved from theoretical exploration to laboratory simulation to practical application. The technical method has also been identified from the classical statistical model, and it has been moving toward knowledge, model, multi-sensor information fusion and deep learning neural network recognition methods. Evolution.
2. Target tracking
Motion target tracking is the process of determining the position of the same object in different frames of an image sequence. Its main working method is to select good target features and adopt appropriate search methods. According to the matching principle, the existing tracking methods are divided into tracking based on models, regions, features, and active contours, which are the capabilities of machine vision.
3. Binocular technology
The core purpose of binocular stereo technology is to improve the accuracy of recognition. Because the three-dimensional geometric information of the object is contained in the field of view formed by the stereoscopic vision technology, the detection rule can be effectively set, and interference factors such as light and shadow can be eliminated, and the accuracy of the intelligent analysis can be greatly improved. When China's leading security companies detected PTZ cameras at high altitudes, they discovered that they were all based on machine vision binocular technology. Their recognition rates for humans and objects were greatly improved, and they used dual cameras or multiple cameras to space within the visual field. The three-dimensional position coordinates and attitude of the free moving body are measured with high precision, the centroid position of the moving target is determined, and the moving target is highly accurately tracked according to the calibration result.
4. Multi-PTZ speed dome camera machine linkage tracking technology
Multi-ball machine linkage tracking technology is based on single ball machine intelligent tracking technology. From the perspective of application, it is possible to upgrade the single-point monitoring of ordinary trackball cameras to the seamless relay tracking of a single target in the system. In conjunction with the use of electronic maps, it is easy to implement high security level areas. Seamless tracking, and achieve high-level security requirements such as target trajectory description and criminal behavior warning. The realization of multi-camera linkage tracking technology requires multi-target recognition and tracking technology. In the application, a billiard machine is usually set as an initiation point to analyze the intelligent behavior of the target in a wide area, and the multiple targets monitored at the same time are sorted according to a predetermined strategy, and the intelligent tracking ball is commanded according to the sequence. The machines track the monitoring targets one by one. Compared with single-target tracking, the key point of multi-target tracking technology is the data correlation problem. That is, a unified coordinate system is established so that the originating dome camera can transmit the target coordinate information to the tracking dome camera and realize linkage tracking.
5. Video summary and video retrieval for hindsight applications
With the popularization of monitoring probes, massive video data is stored in the monitoring system. In the current manual viewing mode, traditional methods need to be played from beginning to end. It often takes several times longer than the original video to complete the review. A large number of people need to work overtime for several weeks to review the video. In order to avoid omissions and errors, we must increase the method of human input. How to reduce the timeliness, cost, and fatigue caused by manual viewing and playback, and how to accurately identify the information that needs to be obtained in videos with different resolutions and resolutions. Based on the above requirements, security manufacturers Research and development of video abstracts, video retrieval and other technical means, which is one of the research content of machine vision.
Machine vision opens smart security applications
From the above introduction and analysis, we can probably understand that machine vision has a certain understanding, but what it can do in the security industry and what changes it brings to the industry deserve attention. Let's take a look at the value of machine vision applications first:
On July 16, 2017, in the Wal-Mart Supermarket in Xixiang Golden Harbor, Bao'an District, Shenzhen, a man was injured by a kitchen knife and killed 2 people and injured 9 others. Today, surveillance can be found everywhere in large and small shopping malls, becoming almost essential for every mall store. Obviously, the use of monitoring is very useful for the daily management and security of shops. However, in reality, current human-powered monitoring equipment has a huge security loophole, which makes security work to a certain extent useless. The intelligent security system based on machine vision technology can identify images from many video materials, search for information such as suspicious characters, identify and screen high-risk individuals, and automatically identify suspicious objects from multiple monitoring devices, such as kitchen knives. And so on, automatic alarms are issued to remind security personnel.
In addition to the preventive and deterrent functions in advance, the video summary and retrieval of machine vision is an intelligent technology for ex-post applications. Among them, the video summary technology enables 24-hour video to be made into brief videos of a few minutes to become a reality, which will greatly improve the efficiency of mass video surveillance video analysis. Video retrieval technology mainly relies on the video algorithm to preprocess the video. After the video content is structured, the effective information in the video content is extracted, and after marking or related processing, the human can perform description through various attributes. Quick search.
It can be said that if the above cases have intelligent security products for machine vision, such tragedies will certainly not occur.
How does machine vision apply the new era of China's security?
1. Establish a face capture database with public security agencies
In areas where people are crowded in public places, such as Tiananmen Square, railway stations and other sensitive public places, relevant machine vision products are continuously refined with the development of technology. The product can establish a face recognition comparison system with a public security agency, establish a face capture database, archive face information, and establish relationships with personal identities. Face search, blacklist deployment, and stranger identification are used in the actual application process. A number of intelligent analysis capabilities greatly increase the effectiveness of video surveillance and prevent criminals from becoming invisible.
2. Identification and Control of Vehicles in Intelligent Transportation
In the transportation industry, compared with other identification technologies, machine vision has the advantages of low cost, strong stability, high accuracy, and a wide range of applications. It has been widely used in traffic monitoring systems for highways and highways at home and abroad. , such as license plate recognition, body color identification, vehicle identification, illegal identification, traffic statistics, flow control.
3. Face deployment
Face recognition is based on human facial feature information for identification, mainly through the camera to capture the face or video stream containing the face, and then in the picture or video stream for face detection and capture, facial feature extraction, in order to capture The face is compared with the face in the database. At present, many leading security companies in China, such as Sysvideo, have introduced a machine vision face placement control system that can be adapted to various traffic arteries, accommodation sites, smart buildings, large chain shopping malls, safe cities and other occasions, with face deployment The core business functions such as graph search and user management.
Some companies are working hard to change security with machine vision. For example 2017 China Shanghai International Machine Vision Exhibition VisionChina held in Shanghai, Hikvision robot technology and design are derived from machine vision; Zhejiang Dahua and Intel jointly push the machine vision business. On June 29 this year, Corel Technology and Intel released a series of machine vision products such as the 9MP/12MP high-performance small area array camera and the 50MP CoaX Press large area array camera. In addition, the general-purpose three-dimensional real-time imaging technology developed by Beijing Qingying Machine Vision Technology Co., Ltd. has the common characteristics and "two major characteristics", filling the gap in the field of Chinese machine vision; Sysvideo has introduced a license plate recognition camera and face recognition camera based on deep learning algorithms.
Conclusion
China's security industry has such a view that machine vision has formed a closed loop of intelligent video analysis. From feature extraction to the application, it has greatly enhanced the application of smart security industry. It is Smart Security 2.0. For this reason, a smart security storm triggered by machine vision has already blew the world and is rapidly spreading, changing the smart security landscape.
Monday 2 April 2018
China's top 5 Best NVR(Network Video Recorder) Manufacturers 2018 Ranking
China security market rapidly change every year, some companies grow fast, but some companies will stop the growth or been closed, so the top manufacturer's name list is not same. NVR(network video recorder) is a core device of IP surveillance system, the development is very difficult, there are only a few security companies can develop and provide stable NVR products, maybe you can easily find a lot of IP camera manufacturers, but it is not easy to find really good NVR manufacturer. There is top 5 best NVR manufacturer in China 2018.
No.1: Hikvision:
Yes, everybody in security industry talks Hikvision, Hikvision is No.1 on global security companies, the biggest shareholder of Hikvision is China government. It is a Chinese state-owned holding company, the Headquarter is in Hangzhou city, Zhejiang province, China. Hikvision's products profit is very high, the average profit is up to 50%! In addition, ever many Hikvision's distributors have to find new products supplier or don't want to continue to promote Hikvision because now Hikvision brand is very famous, the end user or resellers directly move to Hikvision, and Hikvision's price is public, so these distributors don't want to sell Hikvision.
No.2: Dahua:
Dahua is also one famous China’s security products developer and manufacturer, the company scale only has a half of Hikvision, also in the Shenzhen Stock Exchange listed company. Their products are same as Hikvision. Dahua take competitive strategy is low price, products and technologies follow closely Hikvision, but technical ability is less than Hikvision much. The Headquarter is in Hangzhou city, Zhejiang province, China.
No.3: Kedacom:
Kedacom mainly provides network video recorders and video surveillance management software, which offers before this company video conferencing systems, video conferencing systems and later applied to a network video recorder technology development, The main business is for the Chinese government and other departments to provide high-end system solutions. The Headquarter is in Suzhou city, Jiangsu province, China. Kedacom only use their brand, don't provide OEM/ODM service, and their price is very high. The own a Singapore company as agent for the international business.
No.4: Sysvideo:
Sysvideo was founded in 2012, is a relatively new brand, but their development team is from other well-known developers of network video surveillance and information device products, such as Huawei, Hikvision, Dahua, and most of the technical staff have more than 10 years of network video surveillance software and hardware development experience. They can provide NVR OEM, ODM service, and they are a leader in industrial environment IoT network video recorder, The Headquarter is in Shenzhen city, Guangdong province, China.
No. 5: Hangbang
Hangbang is very old China DVR/NVR manufacturer, it ever is strong same as Hikvision and Dahua, it ever owns very big DVR market share, but its lost the chance for the fast growth. Now their products line are small.
No.1: Hikvision:
Yes, everybody in security industry talks Hikvision, Hikvision is No.1 on global security companies, the biggest shareholder of Hikvision is China government. It is a Chinese state-owned holding company, the Headquarter is in Hangzhou city, Zhejiang province, China. Hikvision's products profit is very high, the average profit is up to 50%! In addition, ever many Hikvision's distributors have to find new products supplier or don't want to continue to promote Hikvision because now Hikvision brand is very famous, the end user or resellers directly move to Hikvision, and Hikvision's price is public, so these distributors don't want to sell Hikvision.
No.2: Dahua:
Dahua is also one famous China’s security products developer and manufacturer, the company scale only has a half of Hikvision, also in the Shenzhen Stock Exchange listed company. Their products are same as Hikvision. Dahua take competitive strategy is low price, products and technologies follow closely Hikvision, but technical ability is less than Hikvision much. The Headquarter is in Hangzhou city, Zhejiang province, China.
No.3: Kedacom:
Kedacom mainly provides network video recorders and video surveillance management software, which offers before this company video conferencing systems, video conferencing systems and later applied to a network video recorder technology development, The main business is for the Chinese government and other departments to provide high-end system solutions. The Headquarter is in Suzhou city, Jiangsu province, China. Kedacom only use their brand, don't provide OEM/ODM service, and their price is very high. The own a Singapore company as agent for the international business.
No.4: Sysvideo:
Sysvideo was founded in 2012, is a relatively new brand, but their development team is from other well-known developers of network video surveillance and information device products, such as Huawei, Hikvision, Dahua, and most of the technical staff have more than 10 years of network video surveillance software and hardware development experience. They can provide NVR OEM, ODM service, and they are a leader in industrial environment IoT network video recorder, The Headquarter is in Shenzhen city, Guangdong province, China.
No. 5: Hangbang
Hangbang is very old China DVR/NVR manufacturer, it ever is strong same as Hikvision and Dahua, it ever owns very big DVR market share, but its lost the chance for the fast growth. Now their products line are small.
Saturday 9 July 2016
2015 China IP Camera ( Network Camera ) Brands Top 50
China market has thousands of network camera manufacturers, more than 90% of the global network camera provided by Chinese suppliers, although the network camera manufacturers and products are very large, but the product
Of varying quality, each company's strength is also a great difference. In order to allow consumers to clear understand China network camera manufacturers, the well-known media - "Internet Weekly" released the 2015 China network camera
Brands Top 50
This list is based on the China market network camera brands revenue position, business scale, infrastructure construction and other factors, it reflect the enterprise's comprehensive strength.
| Rank | Brand Name |
| 1 | Hikvision |
| 2 | Dahua |
| 3 | Uniview |
| 4 | Honeywell |
| 5 | Samsung |
| 6 | Axis |
| 7 | Tyco |
| 8 | Kodacom |
| 9 | Panasonic |
| 10 | Bosh |
| 11 | Tiandy |
| 12 | LG |
| 13 | Sony |
| 14 | Sysvideo |
| 15 | Schneider Electric |
| 16 | Dali |
| 17 | ZTE |
| 18 | Zhongwei |
| 19 | Infinova |
| 20 | Blustar |
| 21 | Aevision |
| 22 | CNB |
| 23 | Digital China |
| 24 | Yaan |
| 25 | Aipstar |
| 26 | Jinsanli |
| 27 | Sunell |
| 28 | D-link |
| 29 | Huawei |
| 30 | Red Apple |
| 31 | Hangte |
| 32 | Geovision |
| 33 | Bocom |
| 34 | Shengrui |
| 35 | Disney |
| 36 | AVTech |
| 37 | JVC |
| 38 | Mobotix |
| 39 | Tongzhou |
| 40 | Indigo |
| 41 | Zhongdian |
| 42 | TKH |
| 43 | Ruiming |
| 44 | Kocom |
| 45 | Verint |
| 46 | Canon |
| 47 | Diweile |
| 48 | Lauchidigital |
| 49 | Wapa |
| 50 | Avigilon |
Friday 19 February 2016
Why Security Market Needs H.265 IP Camera & H.265 NVR
Moment, H.265 is very hot, the major manufacturers in China,for example,Hikvision, Sysvideo launched a number of models, a variety of types of H.265 products. Meanwhile, H.265 video compression as a technology emerging in the various security magazine, filled with our eyes. So why security market need H.265?
Let's take a look at the security of the development process. In the year 2000, the first DVR come out, marking CCTV video surveillance from analog age to the digital age. Thereafter digitization process out of control, and directly contributed to the subsequent network. By the year 2007, Histream introduced the industry's first high-definition IP camera, opened the video surveillance network, high definition prelude. In 2013, Hikvision launched the world's first Smart IPC, marking intelligent video surveillance formally entered the era. From the morphological evolution of the product, technical route, we can clearly see a thread - that is IP-based. At the same time, along with the development of IP-based security products, video encoding technology is also in constant progress.
If we sort out the context of video compression standards development, video compression technology is a time to change the history of security monitoring, and promote the development of the depth of the security industry. In the early stages of security monitoring, MPEG-1, MPEG-2 algorithms is introduced into the field of security monitoring, security prompted the arrival of the digital age. In the late stage of digitization, respectively, by the two organizations launched a H.263 and MPEG4-P2, but also cause a variety of video compression standards flooded the security chaos. As we all know, the standard's purpose is to establish a common standard, we abide by in order to save resources, reduce costs, however, the more common standard means no standard to follow; and because of these standards is not perfect, we can not promote better security the network development, which means unity and the urgent need to improve standards. H.264 video compression emergence of multi-standard end of an era, and its advantages in coding performance, so that the whole network security industry on its way forward. The development stage, H.264 video compression standard has been more clear unbearable pressure, slow the pace of development and advancement of security, security requires a far more powerful force to promote the development of a large network. At this time, as a new video compression technology H.265 emerged.
H.265, gives the most intuitive feeling seems to be "it will enhance the coding efficiency more than doubled, effectively reducing output video bit rate." Indeed, comparative tests have shown repeatedly in the same picture quality as compared to in H.264, H.265 coded by the size of the video stream reduced by about 39-44% compared to H.264. Due to the different measurement methods of quality control, this data will be a corresponding change. In the current mainstream resolution as an example, 1080p full-time only need about 1.5 ~ 2M rate. In addition, with the upgrading of the resolution, H.265 rate will decrease more, several tests showed, H.265 network camera at 4K ultra-HD resolution can be obtained as compared to H.264 reduced by 50% to 60 percent rate. In terms of functionality and performance, H.265 to H.264 has almost comprehensive progress for comprehensive than the current video compression standard, which makes H.265 become the undisputed current "the strongest."
Using the strongest video compression technology is necessary to have supporting hardware performance to meet demand, and security hardware and just ready to H.265. From security monitoring hardware development, when the arrival of the digital stage, is widely used in ASIC architecture, the application for the later DSP architecture algorithms such as MPEG-4 provides a good application environment. With the development of technology, with stronger performance SOC architecture into the mainstream, with an initial approach is the integration of ARM and 1-2 functional hardware, low cost, good performance, so that H.264 can flex its muscles in the security, but also It prompted the network security monitoring process. SOC architecture development up to now, has been integrated into the big stage, a variety of functions can be integrated hardware ARM, DSP, ISP, encoding options, namely multi-core processors. Currently, multi-core processors with high performance, low power consumption and other advantages are gradually replacing traditional single-core processors become mainstream market. Security has also been the development of hardware as "a more efficient video compression algorithm" ready.
Throughout the development of security monitoring, video compression technology directly contributed to advancing the security industry, and the development of hardware technology is well protected video compression technology applications, three of the same strain, making H.265 inevitable future development trend, just like the original HD IP network camera appears the same.
It can be found that technological innovation leading the progress of the times, pay attention to efficiency in the present era, H.265 is undoubtedly the best choice.
H.265 NVR (network video recorder) can effectively reduce the cost of video surveillance storage and space applications, enabling ultra high-definition video surveillance to become a reality. As users of the surveillance video quality have become increasingly demanding, high-definition video applications in the security monitoring is becoming increasingly popular, and the resulting sharp rise in the cost of storage and space. Compared with H.264 encoding technology is now being used, the characteristics of H.265 high compression ratio can save about half the storage space, thereby significantly reducing storage costs of the video. With the development of semiconductor technology to solve the bottleneck of the computational complexity of H.265, the ultra-high-definition monitor applications, like H.264 replace the previous MPEG-2, like, H.265 will inevitably replace the current H.264 technology.
Compression performance improvements, reduced output rate, this also means that H.265 will further promote HD even ultra-smooth HD video transmission in 4G network. In today's world, increasingly mobile, there is a growing need for anywhere, anytime, can more easily access the desired content and services via any terminal. 4G wireless technology can lower the cost of a single bit support higher data capacity, and thus significantly improve the commercial viability of video services. Is expected that this trend will continue in the coming years, the bandwidth requirements of video content will be further reduced, operators will obtain the necessary solutions and network flexibility to cost-effectively deliver true mobile video and multimedia experience to the user. On the other hand, the display technology of the mobile terminal is toward ultra-ultra-HD resolution and ppi direction. Therefore, H.265 high compression rate characteristics, will further promote the ultra-high-definition video in HD even under 4G network application popularity smooth transmission.
As mentioned above, the hardware development has matured, H.265 network cameras will quickly achieve on multicore processors terminals. Multicore processors with its high performance, low power consumption advantages are gradually replacing traditional single processor into the mainstream market. With the progress of technology and application needs expand, the more powerful multicore will demonstrate its performance advantages. H.265 video coding technology in the design of parallel implementation will be taken into account. Tile division mechanism so that the newly added previous slice, frame or GOP coarse-grained data parallelism units more flexible, more suitable for parallel on the same structure of multicore processors to achieve. Dependentslice and WPP mechanism to solve the problem in the past H.264 entropy coding and other aspects of encoding techniques can not be implemented in parallel, making the whole process of encoding and decoding DCT, motion estimation, motion compensation division, deblocking filter, entropy coding module task more balanced thereby significantly improve the speedup.
H.265, with the perspective of development of high-definition future conditions are ripe, history has arrived.
Progress and development of video coding technology
Let's take a look at the security of the development process. In the year 2000, the first DVR come out, marking CCTV video surveillance from analog age to the digital age. Thereafter digitization process out of control, and directly contributed to the subsequent network. By the year 2007, Histream introduced the industry's first high-definition IP camera, opened the video surveillance network, high definition prelude. In 2013, Hikvision launched the world's first Smart IPC, marking intelligent video surveillance formally entered the era. From the morphological evolution of the product, technical route, we can clearly see a thread - that is IP-based. At the same time, along with the development of IP-based security products, video encoding technology is also in constant progress.
If we sort out the context of video compression standards development, video compression technology is a time to change the history of security monitoring, and promote the development of the depth of the security industry. In the early stages of security monitoring, MPEG-1, MPEG-2 algorithms is introduced into the field of security monitoring, security prompted the arrival of the digital age. In the late stage of digitization, respectively, by the two organizations launched a H.263 and MPEG4-P2, but also cause a variety of video compression standards flooded the security chaos. As we all know, the standard's purpose is to establish a common standard, we abide by in order to save resources, reduce costs, however, the more common standard means no standard to follow; and because of these standards is not perfect, we can not promote better security the network development, which means unity and the urgent need to improve standards. H.264 video compression emergence of multi-standard end of an era, and its advantages in coding performance, so that the whole network security industry on its way forward. The development stage, H.264 video compression standard has been more clear unbearable pressure, slow the pace of development and advancement of security, security requires a far more powerful force to promote the development of a large network. At this time, as a new video compression technology H.265 emerged.
H.265, gives the most intuitive feeling seems to be "it will enhance the coding efficiency more than doubled, effectively reducing output video bit rate." Indeed, comparative tests have shown repeatedly in the same picture quality as compared to in H.264, H.265 coded by the size of the video stream reduced by about 39-44% compared to H.264. Due to the different measurement methods of quality control, this data will be a corresponding change. In the current mainstream resolution as an example, 1080p full-time only need about 1.5 ~ 2M rate. In addition, with the upgrading of the resolution, H.265 rate will decrease more, several tests showed, H.265 network camera at 4K ultra-HD resolution can be obtained as compared to H.264 reduced by 50% to 60 percent rate. In terms of functionality and performance, H.265 to H.264 has almost comprehensive progress for comprehensive than the current video compression standard, which makes H.265 become the undisputed current "the strongest."
Using the strongest video compression technology is necessary to have supporting hardware performance to meet demand, and security hardware and just ready to H.265. From security monitoring hardware development, when the arrival of the digital stage, is widely used in ASIC architecture, the application for the later DSP architecture algorithms such as MPEG-4 provides a good application environment. With the development of technology, with stronger performance SOC architecture into the mainstream, with an initial approach is the integration of ARM and 1-2 functional hardware, low cost, good performance, so that H.264 can flex its muscles in the security, but also It prompted the network security monitoring process. SOC architecture development up to now, has been integrated into the big stage, a variety of functions can be integrated hardware ARM, DSP, ISP, encoding options, namely multi-core processors. Currently, multi-core processors with high performance, low power consumption and other advantages are gradually replacing traditional single-core processors become mainstream market. Security has also been the development of hardware as "a more efficient video compression algorithm" ready.
Throughout the development of security monitoring, video compression technology directly contributed to advancing the security industry, and the development of hardware technology is well protected video compression technology applications, three of the same strain, making H.265 inevitable future development trend, just like the original HD IP network camera appears the same.
It can be found that technological innovation leading the progress of the times, pay attention to efficiency in the present era, H.265 is undoubtedly the best choice.
H.265 encoding and technology has obvious advantages
H.265 NVR (network video recorder) can effectively reduce the cost of video surveillance storage and space applications, enabling ultra high-definition video surveillance to become a reality. As users of the surveillance video quality have become increasingly demanding, high-definition video applications in the security monitoring is becoming increasingly popular, and the resulting sharp rise in the cost of storage and space. Compared with H.264 encoding technology is now being used, the characteristics of H.265 high compression ratio can save about half the storage space, thereby significantly reducing storage costs of the video. With the development of semiconductor technology to solve the bottleneck of the computational complexity of H.265, the ultra-high-definition monitor applications, like H.264 replace the previous MPEG-2, like, H.265 will inevitably replace the current H.264 technology.
Compression performance improvements, reduced output rate, this also means that H.265 will further promote HD even ultra-smooth HD video transmission in 4G network. In today's world, increasingly mobile, there is a growing need for anywhere, anytime, can more easily access the desired content and services via any terminal. 4G wireless technology can lower the cost of a single bit support higher data capacity, and thus significantly improve the commercial viability of video services. Is expected that this trend will continue in the coming years, the bandwidth requirements of video content will be further reduced, operators will obtain the necessary solutions and network flexibility to cost-effectively deliver true mobile video and multimedia experience to the user. On the other hand, the display technology of the mobile terminal is toward ultra-ultra-HD resolution and ppi direction. Therefore, H.265 high compression rate characteristics, will further promote the ultra-high-definition video in HD even under 4G network application popularity smooth transmission.
Conclusion
As mentioned above, the hardware development has matured, H.265 network cameras will quickly achieve on multicore processors terminals. Multicore processors with its high performance, low power consumption advantages are gradually replacing traditional single processor into the mainstream market. With the progress of technology and application needs expand, the more powerful multicore will demonstrate its performance advantages. H.265 video coding technology in the design of parallel implementation will be taken into account. Tile division mechanism so that the newly added previous slice, frame or GOP coarse-grained data parallelism units more flexible, more suitable for parallel on the same structure of multicore processors to achieve. Dependentslice and WPP mechanism to solve the problem in the past H.264 entropy coding and other aspects of encoding techniques can not be implemented in parallel, making the whole process of encoding and decoding DCT, motion estimation, motion compensation division, deblocking filter, entropy coding module task more balanced thereby significantly improve the speedup.
H.265, with the perspective of development of high-definition future conditions are ripe, history has arrived.
Friday 12 February 2016
2015 China Security Industry Research Report
Chinese well-known security media: CPS and CCTV vender Dahua jointly issued the 2015 China Security Security Industry Report.
The report shows that:
In 2015 China's security industry output value reached 486.1 billion yuan (approximately equal 77 billion US Dollar), of which 180 billion yuan output value of security products, video surveillance products output value of 870 billion yuan, accounting for 40%, in 2015 China's security market growth rate of 15%, more than the global security market growth (11%). The civil security market for home and small business is the fastest growing market, with a total of 360 billion yuan, the growth rate of more than 50%.
China security industry companies quantity and geographical distribution: At present the total number of Chinese security industry security companies to 23,400, of which 33% in southern China, 23% in East China.
China security products manufacturers: China's total security manufacturer 8400, company size less than 50 workers, 55%, 50 to 100 persons, 30%, both of which add up to 85% from the region for distribution. 58% of Chinese security manufacturer concentrated in southern China, the most concentrated area in Shenzhen. Sales of 1,000 yuan accounted for 97% of small and medium companies, and these data show that the vast majority China security products factory are small and medium companies.
2015 Chinese security projects are concentrated in the city's financial industry average gross margin of safety and intelligent transportation projects is 20% -30%, security projects, mainly through direct contact manufacturers to buy products.
2015 Annual China Security Industry major product innovation
Thermal imaging is detected by a non-contact infrared energy (heat) and converts it into an electrical signal, thereby generating thermal images and temperature on the display, and temperature values can be a testing equipment were calculated. UAVs equipped with infrared thermal imager with true night vision, can penetrate smoke, fog, haze and other adverse circumstances, visual distance of several kilometers, can be normal during the day and night operation.
In addition to use on the battlefield, but with UAV technology and infrared thermal imaging technology matures, in many areas of national life UAVs equipped with infrared thermal imager has been successfully applied, UAV thermal imager in a further popularize the use. Infrared thermal imager to detect the object itself issued on the scene temperature distribution imaging provides more information than visible light cameras, night vision and can be used in unmanned aerial vehicles with tracking, search and rescue, equipment inspection, forestry, animal husbandry and fishery and many other aspects.
In nature, insects and some crustaceans and other arthropods have compound eyes, compound eyes animal small eyes by a majority, each ommatidium is an independent photosensitive units, each eye can only form a small dot, many small eye image formed by an image synthesis fight. When the light is weak, small eyes each incident light can also carry other small refractive eye, so close to each small rod eye of a few small eyes refracted light felt adjacent, so when in low light, objects can also be imaged.
Traditional high-power zoom camera somewhere when viewing details, other details will be missed in the original scope of monitoring. And relying on the "fly-eye imaging system", the compound eye camera, you can ensure that all the details of real-time and post-call back to see (even in the region at that time did not see the details) in the panoramic scope. This technology can achieve a resolution without limits, such as the million-pixel resolution or higher, and any wide field of view, any distance, any illumination.
combinesvideosurveillance,intelligence analysis, face recognition, IOT sensing, artificial intelligence, cloud platform and other core technologies,issecuritybig,big things together, the combination of big data. A security technology and the depth of integration of intelligent robotics patrol robots can be populated in the commercial complex to play its double value.
With security personnel need to continue to increase, increase in the number of security personnel, resulting into increasing security costs. The intelligent robot patrol, with the human senses, analysis, judgment and ability to execute, you can automatically perform a specific task or receiving human instruction, instead of doing so to a certain extent, reduce Baocheng this.
combines video surveillance, intelligence analysis, face recognition, IOT sensing, artificial intelligence, cloud platform and other core technologies, security is big, big things together, the combination of big data. A security technology and the depth of integration of intelligent robotics patrol robots can be populated in the commercial complex to play its double value.
With security personnel need to continue to increase, increase in the number of security personnel, resulting into increasing security costs. The intelligent robot patrol, with the human senses, analysis, judgment and ability to execute, you can automatically perform a specific task or receiving human instruction, instead of doing so to a certain extent, reduce Baocheng this.
For individuals camera,three-dimensional video brought shock screen, ultra-strong visual impact, such as immersive true only in a special three-dimensional theater or the use of specialized equipment stereoscopic viewing can feel. By place, program production and the high cost of equipment, technology and other restrictions, people still can not customize content to watch, let alone their own production. Compared to the traditional three-dimensional products with better flexibility, portability and practicality. It can be said that the three-dimensional perception of the camera appears to fill the public good user-generated 3D video works gaps. We have reason to believe that the three-dimensional perception of future cameras will have more room for development, is bound to its rapid potential to create a more brilliant 3D world to contribute!
Transparent LED display screen as a rising star in the field, just a to enter the market will shine, a time fame. Compared to conventional LED display, transparent screen thinner, without steel structure, can save a lot of installation and maintenance costs, the operation is extremely simple, and excellent permeability. Especially used in glass curtain wall, its advantages will become more prominent. Transparent LED display with a high permeation rate, to ensure that the original glass walls feature perspective, lighting and viewing angle range, and do not take up space, without changing the structure of the building ......
With growing security requirements and security products surveillance cameras escalating single or local angle to a certain extent, can not meet the security requirements, Hawkeye camera can play a very helpful role in these areas. Perspective "Eagle Eye" Camera greater (close to 180 degrees). Viewed from the perspective of the road, the existing cameras can only look at a junction, and this "Eagle Eye" camera time traffic conditions will be almost three blocks, while income ......
June 3 news, BOE (BOE) world premiere 82 inches 10K ultra-high-definition display, which is the world's first ultra-high resolution up to 10K-level LCD display. Which 10K level LCD display with a resolution up to 10240 × 4320, is currently the mainstream HDTV resolutions of 21 times, the color gamut of 90%.
With 4K matures, the rise 8K technology and products, coupled with Japan's NHK will use 8K be broadcast at 2020 Tokyo Olympics, the ultra high-definition display products burgeoning limelight, is increasing rapidly. In addition, the large size of the display market trend is irreversible.
in 2015 about the past, there have been a number of new security industry companies, some new concepts, a series of integration and a large number of new products and new technologies. Among them, the security technology as the fundamental survival and development of business and industry, the change faster and faster, let us recall what year technical support from the development of China's security industry, leveraging the competitive landscape of the industry in China.
Zipstream video compression technology designed to detect applications, ie in the network camera video compression in the engine adds a new module, the video stream is an important image details are not lost, useless data is compressed, while the reduces bandwidth and storage requirements by more than 50%. And Zipstream compression technology optimized video streaming and real-time analysis of network cameras, scene of important details in accordance with the highest image quality and resolution storage, other important areas will be filtered, optimize bandwidth and storage efficiency.
depth study of the "depth", in essence, "multi-multi-level" concept, which allows algorithms mimic the human visual system processes information classification process, from low to high, the layers of iterations, gradually abstract achieve semantic representation. Its motivation is to build, simulate the human brain to analyze learning neural network, which mimics the mechanism of the human brain to interpret the data, such as images, sound and text. In recent years, the depth of learning achieved remarkable results in speech recognition, image recognition, natural language processing and other applications. But in the security industry, just starting to learn the depth, the depth of learning is affecting the security companies, affecting intelligent video analysis technology. Currently studying in depth the security industry recognition and vehicle use mainly feature recognition.
in the dim light (moonlight, starlight) environment captured video, image processing, so that the original image is not clear to the naked eye looks dark becomes clear, star light IP camera is mainly used in the surveillance industry. In the surveillance industry, usually use the "minimum illumination" value to represent the camera's sensitivity or sensitivity, the nominal value can be used in a multi-camera dark conditions can also see the available images. In normal operation the camera illumination range is divided into ordinary type, the minimum illumination value 0.1-1Lux between; moonlight type, its minimum illumination value of about 0.01Lux; and the stars need to type the following 0.001Lux reached the. Under the same lighting conditions, compared with ordinary illumination cameras, Star Ultra low-light camera can render brighter images.
Augmented Reality is to really combine and virtual environments, augmented reality a system requires a display technology, tracking and positioning technology, interface and visualization technology, calibration technology. Augmented reality technology used in cameras inside, it's real-time video "reality" and Digital label "enhanced" information combine to make the monitor when the user monitor real-time images, the first time will be able to obtain information of the target object. All cameras within a city up networking, information equivalent to the entire city were put into the camcorder. If the camera can be networked world, the equivalent of the entire planet information is put into the camera.
three-dimensional computer vision technology using three-dimensional and three-dimensional visual sensor vision algorithms, combined with deep learning, real-time capture and analysis of three-dimensional scene information, to solve the traditional two-dimensional image blocking each other, the shadow as people move, the proportion of confusion the problem, to achieve human detection, tracking and recognition, making intelligent higher accuracy and complexity of analysis a reality. Over the years, intelligent analysis of the video surveillance industry is based on two-dimensional image processing technology, the first three-dimensional scene is converted to two-dimensional static images, and then use some advanced algorithms to optimize the two-dimensional information, so that information reaches the pseudo-three-dimensional image level. But in the process, we lost the "depth" of this important dimension of information so that the computer is difficult to determine the size of the object, distance, speed and other information.
panoramic camera multi-screen splicing technology that is more panoramic fusion, it will disperse the panoramic camera on the basis of map coordinates and fusion splicing more panoramic picture, achieve tight integration of 360-degree no dead no blind spot monitor. At the same time can be achieved through a plurality of switching panoramic camera, you can switch from one to the next panorama Camera combines a panoramic camera, enhanced camera intermediate linkage, interaction.
H.265 is a new video coding standard ITU-T VCEG Following H.264 enacted. In the field of security monitoring, with the user demand for low-bandwidth, high-definition, high intelligence escalating, H.265 with its higher compression ratio, faster processing speeds, better adaptability and robustness, in the field of security monitoring the rapid development and promotion. H.265 security industry had a major impact, push toward high-definition video surveillance, intelligent direction. Compared with H.264, H.265 application value lies: high compression coding efficiency, convenience store, information sharing efficiency, high-resolution. Several leading China manufacturer of network video surveillance products, like Sysvideo etc., released H.265 network cameras and H.265 NVR (H.265 network video recorder).
Currently China intelligence analysis technology are two major categories: First class intelligent alarm, the picture is detected in the target motion information corresponding to the output signal in response to an alarm condition; the second is the class of intelligent perception, that perception and recognition screen the target category information and a variety of features, while the output semantic description. The former output simple, single application; the latter type of information-rich output, by combining with the large data can be derived from the depth of large data-rich video applications, such as search, comparison, and other judgments. Since 2014, Kodak launched products in 2015, there are more vendors to join the ranks. We believe that the perception of smart technology will usher in rapid development, application development prospects of depth and far-reaching, broad market.
UAV thermal imaging
Thermal imaging is detected by a non-contact infrared energy (heat) and converts it into an electrical signal, thereby generating thermal images and temperature on the display, and temperature values can be a testing equipment were calculated. UAVs equipped with infrared thermal imager with true night vision, can penetrate smoke, fog, haze and other adverse circumstances, visual distance of several kilometers, can be normal during the day and night operation.
In addition to use on the battlefield, but with UAV technology and infrared thermal imaging technology matures, in many areas of national life UAVs equipped with infrared thermal imager has been successfully applied, UAV thermal imager in a further popularize the use. Infrared thermal imager to detect the object itself issued on the scene temperature distribution imaging provides more information than visible light cameras, night vision and can be used in unmanned aerial vehicles with tracking, search and rescue, equipment inspection, forestry, animal husbandry and fishery and many other aspects.
Composite Camera
In nature, insects and some crustaceans and other arthropods have compound eyes, compound eyes animal small eyes by a majority, each ommatidium is an independent photosensitive units, each eye can only form a small dot, many small eye image formed by an image synthesis fight. When the light is weak, small eyes each incident light can also carry other small refractive eye, so close to each small rod eye of a few small eyes refracted light felt adjacent, so when in low light, objects can also be imaged.
Traditional high-power zoom camera somewhere when viewing details, other details will be missed in the original scope of monitoring. And relying on the "fly-eye imaging system", the compound eye camera, you can ensure that all the details of real-time and post-call back to see (even in the region at that time did not see the details) in the panoramic scope. This technology can achieve a resolution without limits, such as the million-pixel resolution or higher, and any wide field of view, any distance, any illumination.
Smart Patrol robot
combinesvideosurveillance,intelligence analysis, face recognition, IOT sensing, artificial intelligence, cloud platform and other core technologies,issecuritybig,big things together, the combination of big data. A security technology and the depth of integration of intelligent robotics patrol robots can be populated in the commercial complex to play its double value.
With security personnel need to continue to increase, increase in the number of security personnel, resulting into increasing security costs. The intelligent robot patrol, with the human senses, analysis, judgment and ability to execute, you can automatically perform a specific task or receiving human instruction, instead of doing so to a certain extent, reduce Baocheng this.
Mobile Police Device
combines video surveillance, intelligence analysis, face recognition, IOT sensing, artificial intelligence, cloud platform and other core technologies, security is big, big things together, the combination of big data. A security technology and the depth of integration of intelligent robotics patrol robots can be populated in the commercial complex to play its double value.
With security personnel need to continue to increase, increase in the number of security personnel, resulting into increasing security costs. The intelligent robot patrol, with the human senses, analysis, judgment and ability to execute, you can automatically perform a specific task or receiving human instruction, instead of doing so to a certain extent, reduce Baocheng this.
perceive three-dimensional
For individuals camera,three-dimensional video brought shock screen, ultra-strong visual impact, such as immersive true only in a special three-dimensional theater or the use of specialized equipment stereoscopic viewing can feel. By place, program production and the high cost of equipment, technology and other restrictions, people still can not customize content to watch, let alone their own production. Compared to the traditional three-dimensional products with better flexibility, portability and practicality. It can be said that the three-dimensional perception of the camera appears to fill the public good user-generated 3D video works gaps. We have reason to believe that the three-dimensional perception of future cameras will have more room for development, is bound to its rapid potential to create a more brilliant 3D world to contribute!
transparent LED large screen
Transparent LED display screen as a rising star in the field, just a to enter the market will shine, a time fame. Compared to conventional LED display, transparent screen thinner, without steel structure, can save a lot of installation and maintenance costs, the operation is extremely simple, and excellent permeability. Especially used in glass curtain wall, its advantages will become more prominent. Transparent LED display with a high permeation rate, to ensure that the original glass walls feature perspective, lighting and viewing angle range, and do not take up space, without changing the structure of the building ......
Hawkeye Camera
With growing security requirements and security products surveillance cameras escalating single or local angle to a certain extent, can not meet the security requirements, Hawkeye camera can play a very helpful role in these areas. Perspective "Eagle Eye" Camera greater (close to 180 degrees). Viewed from the perspective of the road, the existing cameras can only look at a junction, and this "Eagle Eye" camera time traffic conditions will be almost three blocks, while income ......
10K display
June 3 news, BOE (BOE) world premiere 82 inches 10K ultra-high-definition display, which is the world's first ultra-high resolution up to 10K-level LCD display. Which 10K level LCD display with a resolution up to 10240 × 4320, is currently the mainstream HDTV resolutions of 21 times, the color gamut of 90%.
With 4K matures, the rise 8K technology and products, coupled with Japan's NHK will use 8K be broadcast at 2020 Tokyo Olympics, the ultra high-definition display products burgeoning limelight, is increasing rapidly. In addition, the large size of the display market trend is irreversible.
2015 China Security Industry major innovations
in 2015 about the past, there have been a number of new security industry companies, some new concepts, a series of integration and a large number of new products and new technologies. Among them, the security technology as the fundamental survival and development of business and industry, the change faster and faster, let us recall what year technical support from the development of China's security industry, leveraging the competitive landscape of the industry in China.
1, Zipstream compression technology
Zipstream video compression technology designed to detect applications, ie in the network camera video compression in the engine adds a new module, the video stream is an important image details are not lost, useless data is compressed, while the reduces bandwidth and storage requirements by more than 50%. And Zipstream compression technology optimized video streaming and real-time analysis of network cameras, scene of important details in accordance with the highest image quality and resolution storage, other important areas will be filtered, optimize bandwidth and storage efficiency.
2, Depth study
depth study of the "depth", in essence, "multi-multi-level" concept, which allows algorithms mimic the human visual system processes information classification process, from low to high, the layers of iterations, gradually abstract achieve semantic representation. Its motivation is to build, simulate the human brain to analyze learning neural network, which mimics the mechanism of the human brain to interpret the data, such as images, sound and text. In recent years, the depth of learning achieved remarkable results in speech recognition, image recognition, natural language processing and other applications. But in the security industry, just starting to learn the depth, the depth of learning is affecting the security companies, affecting intelligent video analysis technology. Currently studying in depth the security industry recognition and vehicle use mainly feature recognition.
3, Star-class low-light technology
in the dim light (moonlight, starlight) environment captured video, image processing, so that the original image is not clear to the naked eye looks dark becomes clear, star light IP camera is mainly used in the surveillance industry. In the surveillance industry, usually use the "minimum illumination" value to represent the camera's sensitivity or sensitivity, the nominal value can be used in a multi-camera dark conditions can also see the available images. In normal operation the camera illumination range is divided into ordinary type, the minimum illumination value 0.1-1Lux between; moonlight type, its minimum illumination value of about 0.01Lux; and the stars need to type the following 0.001Lux reached the. Under the same lighting conditions, compared with ordinary illumination cameras, Star Ultra low-light camera can render brighter images.
4, Augmented Reality
Augmented Reality is to really combine and virtual environments, augmented reality a system requires a display technology, tracking and positioning technology, interface and visualization technology, calibration technology. Augmented reality technology used in cameras inside, it's real-time video "reality" and Digital label "enhanced" information combine to make the monitor when the user monitor real-time images, the first time will be able to obtain information of the target object. All cameras within a city up networking, information equivalent to the entire city were put into the camcorder. If the camera can be networked world, the equivalent of the entire planet information is put into the camera.
5, Three-dimensional computer vision technology
three-dimensional computer vision technology using three-dimensional and three-dimensional visual sensor vision algorithms, combined with deep learning, real-time capture and analysis of three-dimensional scene information, to solve the traditional two-dimensional image blocking each other, the shadow as people move, the proportion of confusion the problem, to achieve human detection, tracking and recognition, making intelligent higher accuracy and complexity of analysis a reality. Over the years, intelligent analysis of the video surveillance industry is based on two-dimensional image processing technology, the first three-dimensional scene is converted to two-dimensional static images, and then use some advanced algorithms to optimize the two-dimensional information, so that information reaches the pseudo-three-dimensional image level. But in the process, we lost the "depth" of this important dimension of information so that the computer is difficult to determine the size of the object, distance, speed and other information.
6, Multi-screen splicing technology panoramic camera
panoramic camera multi-screen splicing technology that is more panoramic fusion, it will disperse the panoramic camera on the basis of map coordinates and fusion splicing more panoramic picture, achieve tight integration of 360-degree no dead no blind spot monitor. At the same time can be achieved through a plurality of switching panoramic camera, you can switch from one to the next panorama Camera combines a panoramic camera, enhanced camera intermediate linkage, interaction.
7, H.265
H.265 is a new video coding standard ITU-T VCEG Following H.264 enacted. In the field of security monitoring, with the user demand for low-bandwidth, high-definition, high intelligence escalating, H.265 with its higher compression ratio, faster processing speeds, better adaptability and robustness, in the field of security monitoring the rapid development and promotion. H.265 security industry had a major impact, push toward high-definition video surveillance, intelligent direction. Compared with H.264, H.265 application value lies: high compression coding efficiency, convenience store, information sharing efficiency, high-resolution. Several leading China manufacturer of network video surveillance products, like Sysvideo etc., released H.265 network cameras and H.265 NVR (H.265 network video recorder).
8, Intelligent technology
Currently China intelligence analysis technology are two major categories: First class intelligent alarm, the picture is detected in the target motion information corresponding to the output signal in response to an alarm condition; the second is the class of intelligent perception, that perception and recognition screen the target category information and a variety of features, while the output semantic description. The former output simple, single application; the latter type of information-rich output, by combining with the large data can be derived from the depth of large data-rich video applications, such as search, comparison, and other judgments. Since 2014, Kodak launched products in 2015, there are more vendors to join the ranks. We believe that the perception of smart technology will usher in rapid development, application development prospects of depth and far-reaching, broad market.
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