Automatic and intelligent automobile instrument desk defect detection method

Abstract

The invention discloses an automatic and intelligent automobile instrument desk defect detection method. The method comprises the following steps: step 1, defining defects of a detected product; 2, automatically collecting pictures of the automobile instrument desk through an industrial camera; step 3, performing defect labeling on the picture obtained in the step 2 through a labeling unit; 4, model training; 5, online detection is carried out; and 6, updating the model. According to the invention, based on the modern machine learning algorithm software technology, artificial intelligence technology and image processing and analysis are utilized to detect the possible defects of the product, the non-contact work is adopted, the installation is flexible, the detection precision and speed are improved, the detection of different types of products can be realized, and the detection efficiency is improved. A large amount of equipment and labor cost is saved for enterprises, efficient intercommunication among functional areas in a production detection link can be realized, high automation and intelligence of detection are realized, the product quality is improved, and powerful technical support is provided for cost reduction and benefit improvement of automobile production.

Description

technical field [0001] The invention relates to the fields of automobile production inspection and machine learning, in particular to an automatic and intelligent automobile instrument panel defect detection method. Background technique [0002] Since the development of the automobile industry, the degree of automation in production and manufacturing is quite high, and the production workshop has millions of vehicle interior trim panel front and back fasteners for appearance defects that need to be inspected every year. A large number of products are monitored for production quality, and the traditional detection method of a large number of manual detection is still used. Manual inspection methods have problems such as low sampling rate, high cost, low efficiency, poor accuracy, poor real-time performance, high labor intensity, and are greatly affected by worker experience and subjective factors, which have always plagued the automotive inspection industry. pain points, the...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the defect detection of the existing vehicle instrument panel, which is manual sampling and cannot effectively guarantee the product quality, the present invention provides software technology based on modern machine learning algorithms, using artificial intelligence technology and image processing and analysis to detect possible defects in the product. It is an automated and intelligent car that can detect defects, work in a non-contact manner, and be flexible in installation, which improves the detection accuracy and speed, can realize the detection of different types of products, and saves a large amount of equipment and labor costs for enterprises. Instrument panel defect detection method

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