System and method for unmanned monitoring

Abstract

The invention provides a system and a method for unmanned monitoring, and belongs to the technical field of monitoring. The system comprises an acquisition module, a classification module, a plurality of prediction modules, a comprehensive module and a comparison module. According to the invention, environment images and monitoring real-time images of a to-be-monitored area are collected from multiple angles in different time periods, multiple prediction modules are respectively trained by using the environment images from multiple angles in different time periods, and a standard result is obtained through processing by a comprehensive module. And the monitoring real-time image is input into the prediction module and is processed by the comprehensive module to obtain a prediction result. And performing benchmarking on the prediction result and a standard result to judge whether the to-be-monitored area is abnormal or not. According to the method, video training is carried out on a specific area, the method is suitable for dangerous place contact prediction, unattended place protection, specific scene prediction, face recognition card punching, face recognition lock control and other scenes, and the problem that the accuracy of current manual video recognition is low is effectively solved.

Description

technical field [0001] The invention belongs to the technical field of monitoring, and in particular relates to a system and method for unmanned monitoring. Background technique [0002] Existing public areas are usually equipped with cameras to collect real-time images of the areas to be monitored, and security personnel manually monitor the real-time images of the areas to be monitored to determine whether there is an abnormality in the areas to be monitored. This traditional video surveillance method requires specialized personnel to identify the video content, which requires a lot of manpower. At the same time, when a single person performs long-term video identification, due to fatigue and other reasons, the identification error will occur. SUMMARY OF THE INVENTION [0003] In order to overcome the above-mentioned deficiencies in the prior art, the present invention provides a system and method for unmanned monitoring. [0004] In order to achieve the above object, t...

AI Technical Summary

Problems solved by technology

This traditional video surveillance method requires specialized personnel to identify the video content, which consumes a lot of manpower. At the same time, when a single person performs long-term video identification, due to fatigue and other reasons, recognition errors may occur

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