Safety check graph discrimination system including video analysis and graph discrimination method

Abstract

The invention discloses a safety check graph discrimination system including video analysis and a graph discrimination method. The graph discrimination system comprises an image collecting terminal, a safety check device, and a graph discrimination terminal. The image collecting terminal, the safety check device and the graph discrimination terminal are connected through network communication. The image collecting terminal acquires the image information of persons under safety check and transmits the image information to the graph discrimination terminal. The safety check device conducts safety inspection on articles under safety check, and obtains the safety check image information of the articles under safety check and transmits the safety check image information to the graph discrimination terminal. The graph discrimination terminal identifies and analyzes the image information of the persons under safety check, and gives feedback of prompt information to users through a display unit of the graph discrimination terminal. The graph discrimination terminal displays the image information of safety check, and image information of persons under safety check, and the prompt information. The safety check graph discrimination system including video analysis and the graph discrimination method are advantageous in that the real-time video of the safety check device is transmitted to the graph discrimination terminal through a camera; users can watch the real-time high definition videos at the on-site field of the safety check device, and can conduct computer-assisted analysis on facial expressions and behaviors of the persons under safety check, and thereby the analysis results can be more comprehensive.

Description

technical field [0001] The invention relates to a security inspection image judging system and image judging method including video analysis, belonging to the technical field of article security inspection. Background technique [0002] At present, in order to prevent terrorist activities, smuggling and drug trafficking, criminals fleeing and other events that seriously endanger public safety, various security inspection equipment are installed in important parts such as airports, stations, and docks. Existing security inspection equipment mainly checks people's carry-on luggage or identity verification, and cannot actively identify criminals through their characteristics. In the existing security inspection mode, no matter whether the security inspector adopts the local image judgment mode near the security inspection machine or the remote image judgment scheme far away from the security inspection machine, only the X-ray image of the item and the counter image can be seen ...

AI Technical Summary

Problems solved by technology

Existing security inspection equipment mainly checks people's luggage or identity verification, and cannot actively identify criminals through the characteristics of criminals

In the existing security inspection mode, no matter whether the security inspector adopts the local image judgment mode near the security inspection machine or the remote image judgment scheme far away from the security inspection machine, only the X-ray image of the item and the counter image can be seen on the display screen. No., passenger name and other information, but unable to fully understand the situation at the security check site, resulting in a one-sided interpretation of the image

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