Tag: Vision Technology Intelligent Video Surveillance
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Intelligent video analytics technology originated from computer vision technology. Computer vision, one of the branches of artificial intelligence research, establishes a mapping relationship between image and image descriptions to understand the content of the video image through digital image processing and analysis. It allows computers to distinguish and identify key targets from a wide range of video images. After being applied to the security video surveillance system, it can use the powerful data processing capability of the computer to filter out useless or interference information in the image, and automatically analyze and extract key useful information in the video source, so that the monitoring system not only has eyes (cameras), Moreover, because of the intelligent video analysis computer or the dedicated DSP processor, the monitoring system has a smart brain function, which makes the monitoring "smart" and can automatically learn and think, instead of manpower or assisting manpower to monitor.
Video content analysis and recognition software detects and identifies suspicious activity, events, or behavioral patterns by analyzing real-time video streams. Intelligent video surveillance means that the system can automatically detect and identify abnormal conditions in the monitoring screen without human intervention, and make pre-/alarms in time. Because video analysis and recognition requires customized software to identify various types of abnormal behaviors, it will inevitably involve complex software algorithms. Today's intelligent video analysis software has many functions such as perimeter monitoring and behavior analysis.
Today's intelligent video analysis technology often has two manifestations in terms of hardware, one is based on industrial computers (or servers) with high-speed computing performance, and the other is a high-performance DSP processor based on embedded technology. Both forms need to be loaded with a dedicated intelligent video analysis software algorithm. The former form has the characteristics of functional diversity, high speed, multi-path processing, etc., and is generally applied to the back end; the latter form is often single-function, suitable for single-channel processing, and has convenient layout, and is generally applied to the front end. Especially the latter form, based on strong pertinence and convenient layout, its application situation is very strong.
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