Substation adaptive security method and system based on machine vision

The invention discloses a substation self-adaptive security and protection method and system based on machine vision, and the method comprises the following steps: S1, carrying out the target detection of video frames obtained by all monitoring equipment in real time, so as to retain video frames containing suspected objects, and extracting the image features of the suspected objects from the video frames containing the suspected objects; s2, taking the monitoring equipment corresponding to the video frame containing the suspected object as self-adaptive adjustment equipment, and performing similarity analysis on the image features of the suspected object and the image features of the pre-detected target object, and the video frame retention frequency of the self-adaptive adjustment equipment is adjusted according to the similarity analysis result so as to improve the probability of capturing the behavior characteristics of the suspected object. According to the method, the video frame retention frequency of