Technical upgrade of video surveillance system

Video surveillance systems will evolve toward intelligence. With the development of digital networking, the scale of video surveillance systems is expanding, and the number of monitoring signals is increasing rapidly. It has exceeded the scope of real-time management by monitoring personnel. It is necessary to use computers for intelligent analysis, on the one hand, filtering redundant information, and On the one hand, it can alert the monitoring personnel in time when an alarm occurs, and improve the response speed.
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From the perspective of AI technology, the main technologies used in the security field are image recognition-based face recognition vehicle recognition, crowd and behavior recognition technologies, and policing data analysis and understanding techniques based on semantic understanding.
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From the perspective of the application scenario, the artificial intelligence application is divided into four types according to the deployment scenario. 1. The point defense is mainly based on the gateway identity authentication, and is applied to key nodes such as the station airport hotel; 2. The line deployment takes the road as the main deployment scenario, combining Vehicle identification and face recognition; 3. Surface protection is the main deployment scenario in the hot spot area, mainly using crowd and behavior analysis technology, and also deploying face recognition products as needed; 4. Background analysis based on semantic understanding Analyze and coordinate police resources.
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In 2017, the product structure of the security hardware industry has undergone significant changes. The proportion of high-definition cameras exceeds that of standard cameras, which means that the upgrade period of front-end hardware products has been more than half. Although the saturation of China’s security market is still far from the average level in Europe and the United States, the high security of the security industry driven by the demand for high-definition cameras will enter the second half.

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