Intelligent detection method and device based on temperature vision and electronic equipment

Abstract

The invention provides an intelligent detection method and device based on temperature vision and electronic equipment, and relates to the technical field of computer vision. The method comprises the following steps: acquiring a temperature visual image of target power equipment; inputting the temperature visual image into a pre-trained and generated target detection model to obtain type information of the target power equipment; determining a target area image and a sub-classification model corresponding to the target power equipment according to the type information and the position information of the target power equipment; inputting the target area image into the sub-classification model to obtain a to-be-detected image containing each part frame marked in the target area image; and inputting the to-be-detected image into a fault detection model generated by pre-training to determine a fault type and a fault position of the target power equipment. Therefore, based on the temperature visual information, the position of the power equipment can be positioned through the target detection network, and the positions of the power equipment parts can be positioned through the feature point network, so that the positions of the parts of the power equipment can be accurately positioned, and the corresponding temperature information can be acquired.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an intelligent detection method, device and electronic equipment based on temperature vision. Background technique [0002] At present, the methods of electric equipment detection are mainly based on infrared images to study the problem of abnormal heating of electric equipment. Due to the fact that infrared images contain a variety of false colors, the shooting environment is complex, the equipment being photographed is seriously interfered with, and there are few types of training data. The current existing methods have defects such as low detection accuracy and poor model generalization ability. [0003] Therefore, how to accurately and reliably detect power equipment is a problem that needs to be solved urgently. Contents of the invention [0004] The present invention aims to solve one of the technical problems in the related art at least to a certain extent. [...

AI Technical Summary

Problems solved by technology

Due to the fact that infrared images contain a variety of false colors, the shooting environment is complex, resulting in serious interference of the captured equipment and few types of training data, etc., the current existing methods have defects such as low detection accuracy and poor model generalization ability.

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