Electric tricycle body spraying defect detection method and system based on machine vision

Through the machine vision system integrating panoramic and micro lenses, multi-angle image acquisition and panoramic splicing of body spray defects of electric tricycle are realized, which solves the problem of poor defect detection accuracy in the prior art and realizes efficient detection of various types of defects.

CN119715554AActive Publication Date: 2025-03-28XUZHOU TIANYING AUTOMOBILE CO LTD
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Patent Information

Application Number
CN202411891995.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-20
Publication Date
2025-03-28
Estimated Expiration
2044-12-20

AI Technical Summary

Technical Problem

The prior art is difficult to adapt to multiple types of spray defects at the same time, especially when dealing with small, complex or mutant defects, which makes it difficult to accurately locate, resulting in poor accuracy of defect detection.

Method used

Through the machine vision perception module integrating panoramic lenses and micro lenses, multi-angle image acquisition and panoramic stitching are realized, and combined with feature extraction and statistical evaluation and analysis, the electric tricycle body spray defect detection results are generated.

Benefits of technology

The comprehensive inspection of the body spray defects of electric tricycles has been achieved, the accuracy of defect detection is improved, and the ability to accurately identify and quantify small, complex or hidden defects.

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Abstract

The invention provides an electro-tricycle body spraying defect detection method and system based on machine vision, and relates to the technical field of defect detection, and the method comprises the steps: obtaining a machine vision perception module; performing multi-angle image acquisition through a panoramic lens; performing preprocessing and panoramic stitching on the multi-angle tricycle body image set; performing defect area identification and anchor frame marking on the panoramic image of the tricycle body; carrying out feature extraction quantization on the tricycle defect area anchor frame set by adopting a microscopic lens; and carrying out statistical evaluation analysis on the tricycle defect characteristic quantitative information according to the spraying defect index set to generate an electro-tricycle body spraying defect detection result. The technical problem that in the prior art, due to the fact that small defects are difficult to accurately position, the defect detection accuracy is poor can be solved, comprehensive detection of the spraying defects of the electro-tricycle body is achieved by integrating the panoramic lens and the microscopic lens, and the defect detection accuracy is improved.
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