Industrial product detection method based on machine vision

Abstract

The invention discloses an industrial product detection method based on machine vision. The method includes the steps that (1) sampling and counting are conducted on industrial products of each type to obtain a color difference distribution statistical model of the industrial products of the type and a texture variance distribution statistical model of the industrial products of the type; (2) color difference characteristics of the industrial products are extracted from the color difference distribution statistical model, and texture characteristics of the industrial products are extracted from the texture variance distribution statistical model, and a characteristic space is built according to the extracted color difference characteristics and the extracted texture characteristics; (3) a support vector machine (SVM) is used for dividing the characteristic space to obtain an optimal hyperplane which serves as a decision classifier used for detecting articles to be detected, namely a classification threshold; (4) a particle filtering frame is used for sampling the color difference and the texture of the articles to be detected to obtain a statistical vector, then the statistical vector is input into the decision classifier to obtain the types of the articles to be detected. According to the industrial product detection method based on the machine vision, the detection process in current industrial production is improved greatly.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a machine vision-based industrial product detection method, which can classify and detect industrial products on a production line, and can realize functions such as product classification. Background technique [0002] In the process of modern industrial production, product quality inspection is an important process. Usually, the quality of a product is first judged by the appearance of the industrial product, such as product color difference, size, and appearance. This kind of industrial product is usually produced on an assembly line, which has high requirements for the continuity of production and high-speed throughput. The detection work of this kind of assembly line is usually highly repeatable and intelligent. At present, most production lines in China can only be identified manually. In today's modern industry, hundreds of workers are often required to perform ...

AI Technical Summary

Problems solved by technology

This type of detection system has improved production efficiency to a certain extent, but because the threshold setting is not necessarily reasonable, and the detection technology lacks intelligence and learning and judgment ability, the correct rate of detection still cannot meet the requirements

Images