Image identification-based security intelligent decision-making method and system

Abstract

The invention discloses an image identification-based security intelligent decision-making method and system. The method comprises the steps of transferring a video monitoring image at the moment of occurrence of an abnormal event, storing the video monitoring image into an abnormal event base, simultaneously obtaining a monitoring personnel operation process and forming a coping decision of the corresponding abnormal event to store into a decision-making base; obtaining the video monitoring image in real time, calculating the contrast similarity of a current video monitoring image and the video monitoring image in the abnormal event base separately to query the abnormal event corresponding to the video monitoring image in the abnormal event base in real time, and then transferring the corresponding decision from the decision-making base and auditing the decision; if the audit pass, keeping the decision-making base invariable; or else, correcting the corresponding decision to optimize the decision-making base; and detecting the abnormal event corresponding to the video monitoring image in the abnormal event base in the video monitoring image in real time, transferring the decision corresponding to abnormal event characteristics from the optimized decision-making base and directly outputting the corresponding decision.

Description

technical field [0001] The invention belongs to the security field, and in particular relates to a method and system for security intelligent decision-making based on image recognition. Background technique [0002] Intelligent inspection is a security inspection technology emerging with the development of science and technology. It mainly relies on intelligent inspection equipment and integrates the status information and signal data of traditional monitoring equipment to realize the automatic inspection function of unmanned control. Intelligent inspection can greatly save human resources, and with the development of science and technology, more and more fields are using intelligent inspection systems. [0003] Video surveillance is an important part of the security field. With the rise of cloud computing, big data and artificial intelligence, the traditional video surveillance mode can no longer meet the existing needs. It is not accurate, and it is not connected with eme...

AI Technical Summary

Problems solved by technology

[0003] Video surveillance is an important part of the security field. With the rise of cloud computing, big data and artificial intelligence, the traditional video surveillance mode can no longer meet the existing needs. Inaccurate, and not connected with emergency command and dispatch, it cannot automatically and efficiently complete the accident recording, detection, and decision-making process, which greatly wastes human resources, and the level of security automation and intelligence is low

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