System and method for detecting defects of fabric gray cloth quickly

Abstract

The invention relates to a system for detecting defects of fabric gray cloth quickly and automatically on line, which comprises a charge coupled device (CCD) camera, a computer with an image acquisition card and a stream line operation platform, wherein the stream line operation platform comprises a shielding device, two gray cloth clamp grooves and a cloth guiding rail; the CCD camera is fixed on the shielding device above the gray cloth, a lens is embedded into the shielding device, and a viewing field is aligned with the surface of the gray cloth; and a group of light-emitting diode (LED) light sources are fixed to the inner side of the bottom surface of the stream line operation platform and are arranged on the lower side of the gray cloth. In the system, the acquisition, processing and characteristic extraction of fabric gray cloth images and the judgment and control of image data are performed by the computer, so that a final result is sent to an alarm engine bell by output equipment, and the classification and statistics of the defects of the fabric gray cloth are performed. Therefore, the automated, objective, non-contact, high-accuracy and quick detection of the defects of the fabric gray cloth is realized.

Description

technical field [0001] The present invention relates to a detection system, in particular to an online automatic rapid detection system and method for gray fabric defects. In particular, the quality of the gray cloth is detected by acquiring the surface image of the gray cloth and performing digital image processing, and the defects are identified and classified. The detection result is accurate, High efficiency and high degree of automation. Background technique [0002] In textile production, quality control and testing are very important, and fabric defect detection is the most important part. So far, traditional fabric defect detection is done by artificial vision offline detection. However, because manual cloth inspection is a monotonous, tedious and heavy labor, a cloth inspector can find up to 200 defects within an hour, and the concentration of manual cloth inspection can only last for 20 to 30 minutes at most. Fatigue will occur, and the cloth inspection speed is ...

AI Technical Summary

Problems solved by technology

At present, there are still some problems to be solved urgently in the textile online inspection technology based on machine vision: 1) The design theory and method are single, unable to meet the requirements of real-time and high-speed online inspection, and most of them are still in the state of laboratory development; 2) The high-speed image The processing reaches the bottleneck, and the collection and processing of high-speed online images takes up a lot of time, which affects the online detection of cloth; 3) Lack of high-speed image processing algorithms, most of which are the improvement and processing of the original algorithms

Poor portability and robustness of the algorithm

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