The Development of Video Surveillance System Is Very Good, and Intelligent Application Will Be Appli

With the growing demand for security, the video surveillance equipment market is in an upward cycle. From 2010 to 2016, the scale of China's video surveillance market increased from 24.2 billion yuan to 96.2 billion yuan, with an average annual compound growth rate of 25.86%. It is estimated that the market scale will reach 119.2 billion yuan in 2018, with a year-on-year increase of 12%.

Industry development trend

With the continuous development of the construction of safe city, smart city, bright project and intelligent transportation, security has been gradually popularized. In the face of such a broad market, it is not only an opportunity but also a challenge for security enterprises. Nowadays, most cameras have not been able to get rid of the traditional monitoring method of manual monitoring, resulting in the accumulation of a large number of video data, occupying storage resources, poor real-time performance, retrieval difficulties and other problems. The massive video data retrieval brought by massive cameras needs a lot of police force.

In order to solve these problems, in recent years, the development direction of video surveillance industry is mainly "high definition, networking and intelligence". Video surveillance equipment is highly technical, and the innovation and upgrading of the system is also guiding the changes of market demand and creating new market demand.

Recently, after high definition, networking and intelligence, a new round of major technical iteration - Ultra-high definition video is gradually approaching. On January 3, the electronic information department of the Ministry of industry and information technology held a symposium on the development of UHD video industry in Beijing. The meeting proposed that China's ultra high definition video industry alliance will be established, and the action plan for the development of ultra high definition video industry (2018-2022) will be formulated to promote the construction and industrial application of ultra high definition content, and support the industrial agglomeration development and leading demonstration in Beijing, Guangdong and other places.

Ultra high definition camera can solve the problem of monitoring large scenes. One 4K camera can cover the square in front of the railway station and basically see the face of pedestrians. Secondly, with the same field of view, you can see more image details than 1080p camera, such as face, license plate, etc. these details are often very key in practical application.

On the other hand, UHD video surveillance can obtain more details and generate more effective data, so as to promote the development of artificial intelligence to a certain extent and promote the first application of artificial intelligence in the field of video surveillance.

Key technology development

Contemporary video surveillance system mainly includes five key technologies: digital video compression and coding technology (coding), digital video network transmission technology (transmission), massive video data storage and retrieval technology (storage), human / object recognition and tracking technology in video surveillance scene (video image processing and analysis) Motion detection and alarm technology in video surveillance scene (video image processing and analysis).

Nowadays, intelligence, big data and cloud technology make large-scale video monitoring more practical, which can greatly save manpower and monitoring equipment, and will have broad application prospects in the public security industry.

Big data mining: changing the application pattern in the field of video surveillance

At present, in public security work, the most practical application is to find images with the same clue characteristics from massive video data. The biggest technical obstacle lies in the video structure. From the perspective of video analysis and intelligent vision, we can use some intelligent analysis means to automatically collect some commonly used "metadata" information from a large number of pure videos, and re organize and store the video information in the form of data tag for a long time, so as to be used urgently in "wartime" and complete the patchwork of criminal behavior traces.

Cloud technology: promote more balanced, flexible and reliable video surveillance system

Cloud storage technology adopts distributed file system as its basic feature, and combines the traditional three-tier storage architecture (file system, volume manager and raid) into a unified software layer, so as to create a single intelligent file system across all nodes in the storage system. The system data and management data (metadata) of the distributed file system are distributed on each node, which avoids the contention of system resources and eliminates the system bottleneck; Even if the whole node fails, the system can automatically identify the failed node and automatically recover the data and metadata involved in the failed node, so that the failure is transparent to the business and does not affect the business continuity at all.

Intelligent video analysis: towards compatibility, live annotation and virtual layered deployment

Intelligent video analysis is an intelligent monitoring technology based on target behavior. It separates the background and target in the scene, identifies the real target, removes the background interference, and then analyzes and tracks the target behavior in the camera scene.

Intelligent operation and maintenance: make the video monitoring system easier to use

At present, the original intention of the development of artificial intelligence is to solve mechanical repeatability and large-scale computing work, and operation and maintenance is precisely such a field with high-density work intensity. Intelligent operation and maintenance includes historical data management, stream data management, log data extraction, network data extraction, algorithm data extraction, text and NLP document extraction Automated model discovery and prediction, anomaly detection, root cause analysis, on-demand delivery, and software service delivery.

With the emergence of intelligent operation and maintenance, users of video monitoring system do not need to have strong professional knowledge and it skills.

Conclusion: with the continuous innovation and development of information technology, especially the increasing maturity of emerging technologies such as the Internet of things and artificial intelligence, it will increase users' demand for platform software, cause obstacles to the compatibility of software and hardware equipment, and also bring the renewal demand of core technology. The video monitoring industry will enter the process of reshuffle, Traditional equipment manufacturers are facing new challenges of changing to system wide and overall solution providers.