Supervision method based on image recognition, related equipment and storage medium

Abstract

The embodiment of the invention discloses a supervision method based on image recognition, related equipment and a storage medium, and is applied to the field of smart cities. The method comprises the following steps: acquiring an environment image collected by monitoring equipment, preprocessing the environment image to obtain a target image corresponding to the environment image, performing matrix conversion processing on the target image to obtain a target matrix, determining a matching degree between the target matrix and each abnormal matrix, and determining an environment abnormal type of a supervision area based on the matching degree; and obtaining object information of the to-be-supervised object, generating exception handling information according to the object information and the environment exception type, determining a target grid to which the to-be-supervised object belongs according to the position information, and sending the exception handling information to the supervision platform and environment supervision equipment corresponding to the target grid. By adopting the embodiment of the invention, the supervision processing efficiency can be effectively improved. The invention relates to a block chain technology, for example, an abnormal image corresponding to an abnormal scene can be written into a block chain.

Description

technical field [0001] This application relates to the field of image detection technology, which is applied in the field of smart cities, and in particular to a supervision method based on image recognition, related equipment and storage media. Background technique [0002] At present, in the traditional supervision of objects to be supervised (such as catering companies, schools, etc.), the steps are usually cumbersome and time-consuming. Among them, the important part of supervision is generally carried out offline. For example, supervisors need to go to the scene to check to determine whether the object to be supervised has violated the regulations. Taking the violations of catering companies as an example, supervisors are usually assigned to conduct offline sanitation inspections at catering companies to be supervised, or through consumer complaints, so as to know whether the corresponding catering companies have violated regulations, and based on artificial According ...

AI Technical Summary

Problems solved by technology

It can be seen that the existing supervision methods cannot detect the illegal operations of the objects to be supervised in time, and the efficiency of supervision and processing is low.

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