A behavior marking and tracing method based on artificial intelligence

Abstract

The invention discloses an artificial intelligence-based behavior marking and tracing method, comprising the following steps: S1: collect and store real environment information and install information collection equipment at the site where information collection is required; S2: identify the collected real environment information Finally, the virtual environment is generated by the processor, and the virtual model created for each physical object in a digital manner simulates the behavior of each physical object in the real environment; the abnormal behavior of the virtual model in the virtual environment is marked in time by the processor Online: after associating the marked timeline with the stored real environment information, a briefing list of the selected virtual model is generated to realize traceability. The invention has the advantages of warning dangerous behaviors, storing and time-marking suspected dangerous behaviors, quickly browsing the performance of monitoring objects in a period, and the like.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to an artificial intelligence-based behavior marking and tracing system and method. Background technique [0002] In real life, abuse incidents often occur in kindergartens, nursing homes and other places. After such incidents occur, the parties often threaten the abused, making it difficult for such incidents to be discovered. Came a great adverse effect. [0003] As far as the current situation is concerned, places such as kindergartens and nursing homes are equipped with video surveillance equipment. However, due to the existence of monitoring blind spots in the existing monitoring equipment, there will be situations where the monitoring equipment is artificially blocked or turned off. condition. In addition, even if there are no dead ends in monitoring, the amount of monitoring data is huge, and events such as hard disk damage are prone to occur, which is not conducive t...

AI Technical Summary

Problems solved by technology

[0002] In real life, abuse incidents often occur in kindergartens, nursing homes and other places. After such incidents occur, the parties often threaten the abused, making it difficult for such incidents to be discovered. Great adverse effects come

[0003] As far as the current situation is concerned, places such as kindergartens and nursing homes are equipped with video surveillance equipment. However, due to the existence of monitoring blind spots in the existing monitoring equipment, there will be situations where the monitoring equipment is artificially blocked or turned off. condition

In addition, even if there are no dead ends in monitoring, the amount of monitoring data is huge, and events such as hard disk damage are prone to occur, which is not conducive to restoring the truth of the matter; some monitoring devices provide access ports to transmit video to parents in real time, but parents cannot always pay attention to the video. Moreover, each child in the kindergarten generates more than 10 hours of video data every day. Even if you watch it at double speed, it will take a long time, and it is impossible to quickly and effectively find adverse events.

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