Colored printed matter defect automatic detection system and detection method based on machine vision

Abstract

The invention discloses a colored printed matter defect automatic detection system and detection method based on machine vision. The automatic detection system comprises: an image acquisition system, an image processing system connected to the image acquisition system, and a display and control system connected to the image processing system. The image acquisition system converts the acquired printed matter image and color information into digital signals that can be processed by the image processing system, the image processing system computes the digital signals, extracts target characteristics, and then outputs the judgment result according to a preset judge criterion. The display and control system outputs the judgment result of the image processing system. By the way, the system and the method provided by the invention can improve the flexibility and automation degree of production, replace artificial vision, reduce the labor intensity of workers, improve the production efficiency and automation degree, and reduce the defective rate.

Description

technical field [0001] The invention relates to the field of automatic detection systems, in particular to an automatic detection system and detection method for defects in color printed matter based on machine vision. Background technique [0002] The emergence of printing technology has made great contributions to the development of human society. With the rapid development of printing technology, printed matter is filled in every corner of society and is closely related to people's lives. Although the performance of the new generation of printing machines has been greatly improved in terms of speed and quality, the current printing technology itself still cannot prevent the occurrence of various printing defects and cannot meet the society's increasing demand for printing quality. [0003] The quality defects of printed matter mainly include overprint deviation, color deviation, surface stains, missing printing, dislocation, wrinkling, scratches and some special defects. ...

AI Technical Summary

Problems solved by technology

First of all, the functions of the system cannot fully meet the higher requirements of users

No matter how complex the machine vision inspection system is, what it lacks compared to manual inspection is that its intelligence is still very low, and its ability to adapt to new situations is generally poor. A seemingly small function change may cause the entire vision Changes to the detection system

Secondly, the price of testing equipment is still relatively expensive, and large-scale transformation of production lines will cause excessive one-time investment of production users, which will affect the popularity of testing equipment

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