Risk detection method, device and system based on background cooperation

Abstract

The invention discloses a risk detection method, device and system based on background cooperation. The method comprises the steps that a first camera sends first video data to a monitoring device; the second camera sends the second video data to the monitoring device, and the first camera and the second camera are arranged at different positions in the to-be-detected environment; the monitoring device identifies a face corresponding to the user to be analyzed in the first video data and the second video data, and determines the user to be analyzed; the method further includes obtaining videodata, including the necessary points of the to-be-analyzed user, in the first video data and the second video data, and extracting background features from the video data including the necessary points of the to-be-analyzed user; inputting the extracted background features into a preset background cooperation model, and calculating to obtain a matching degree between the background features and the preset background cooperation model; enabling the monitoring device to compare the matching degree with a preset background threshold value, and if the matching degree is lower than the preset background threshold value, it is determined that a preset risk exists.

Description

technical field [0001] The invention relates to the field of video surveillance, in particular to a risk detection method, device and system based on background collaboration. Background technique [0002] Existing automatic teller machines (Automatic Teller Machine, referred to as ATM) are generally arranged in self-service banks, and after inserting a bank card on the ATM, bank counter services such as withdrawal, deposit, and transfer can be performed on the ATM. Due to the openness, convenience and environmental particularity of self-service banks and automatic teller machines. Criminal activity targeting self-service banks and ATMs has increased in recent years. [0003] However, the traditional ATM video surveillance system is mainly to record the video. After the event occurs, the recorded video is used to obtain evidence afterwards, so as to eliminate disputes and solve the case. However, such a mechanism can only provide evidence collection after the event, and can...

AI Technical Summary

Problems solved by technology

[0003] However, the traditional ATM video surveillance system is mainly to record the video. After the event occurs, the recorded video is used to obtain evidence afterwards, so as to eliminate disputes and solve the case. However, such a mechanism can only provide evidence collection after the event, and cannot achieve Real-time or early warning

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