Inspection method and inspection system of an intelligent inspection robot

Abstract

The invention discloses a patrol inspection method and a patrol inspection system of an intelligent patrol inspection robot. Under-vehicle images and preset images to identify specific parts and obtain inspection results. The inspection method and inspection system of the intelligent inspection robot of the present invention obtain the feature data of the specific part through the recognition algorithm training of the specific part, set the feature points of the preset image according to the feature data, and collect the bottom image of the train in real time. Compare the collected images with the preset images, identify specific parts, obtain inspection results, realize automatic and accurate identification of specific inspection parts, make the train inspection comprehensive and thorough, improve the quality of train maintenance, and eliminate potential safety hazards.

Description

technical field [0001] The invention belongs to the field of intelligent robots, and more specifically relates to an inspection method and an inspection system of an intelligent inspection robot. Background technique [0002] With the rapid development of technology, people pay more attention to the safety and comfort of traveling by car. Therefore, it is very important to ensure the safety and reliability of vehicles. Every time the train runs, it may cause damage or aging of parts at the bottom of the train. The train inspection in the prior art usually checks the status of the vehicle parts through manual inspection or the video of the bottom of the train when the train enters the station. , but manual detection may have the problem that the detection is not in place or a certain part is in a blind spot, which makes it difficult to detect manually, and the method of viewing the video is affected by the angle and light when shooting, resulting in blurred video and missing ...

AI Technical Summary

Problems solved by technology

Every time the train runs, it may cause damage or aging of parts at the bottom of the train. The train inspection in the prior art usually checks the status of the vehicle parts through manual inspection or the video of the bottom of the train when the train enters the station. , but manual detection may have the problem that the detection is not in place or a certain part is in a blind spot, which makes it difficult to detect manually, and the method of viewing the video is affected by the angle and light when shooting, resulting in blurred video and missing certain parts. No video is recorded The problem

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