Surface flaw quality inspection platform and method based on image recognition algorithm
A technology of image recognition and surface flaws, which is applied in the field of surface flaw quality inspection platform based on image recognition algorithms, can solve the problems of slow manual progress, time-consuming cost, missing or wrong detection, etc., so as to improve the degree of automation and reduce manpower Cost, the effect of improving production quality
Pending Publication Date: 2022-07-29
广州市华懋科技发展有限公司
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[0003] At present, this kind of high-intensity and highly repetitive work can basically only be completed by manual inspection. According to the strictness of quality inspection requirements, the progress of manual quality inspection is generally relatively slow, and the inspection process is prone to missing or wrong inspections. The problem
Therefore, the pass rate of manual inspection is difficult to reach 100%.
It can be seen that supporting the quality inspection work requires a lot of labor and management costs, as well as a lot of time cost, but the final inspection results are difficult to guarantee "zero defect", thus bringing greater pressure to the enterprise
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[0055] The following description and drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them.
[0056] It should be understood that the described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0057] In an exemplary scenario, the visual recognition system is used to detect the quality of cloth. The main difficulties are as follows: (1) Accuracy, there are many types of cloth defects and impurities, different shapes and sizes, and it is difficult to complete the inspection in advance. Yes, but must be able to accurately find and mark all defects. (2) Real-time, in the process of high-speed operation of the machine, the processing speed of the visual recognition algorithm i...
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The invention discloses a surface flaw quality inspection platform and method based on an image recognition algorithm. The platform comprises a background center, a cloud center, an internet terminal and production workshop equipment, wherein the production workshop equipment is used for collecting an image of a to-be-detected object and inputting the image of the to-be-detected object into a preset flaw detection model to obtain detected flaw type information, flaw position information and flaw size information; sending the detected object image information, flaw type information, flaw position information and flaw size information to a cloud center; the cloud center is used for sending the received data to the background center; the background center is used for counting the received data and generating an object flaw detection report; and the internet terminal is used for querying an object defect detection report. According to the quality inspection platform, information such as flaw types, flaw positions and flaw sizes in the production process can be automatically and accurately identified, and a large amount of labor management cost is saved for enterprises.
Description
technical field [0001] The invention relates to the technical field of factory quality inspection, in particular to a surface defect quality inspection platform and method based on an image recognition algorithm. Background technique [0002] In the production process of cloth and furniture, various defects will occur due to various influences. In order to ensure production quality, defect identification has become an important part of production and quality management in the textile industry and other fields. [0003] At present, this kind of high-intensity and high-repetition work can basically only be done by manual inspection. According to the strictness of quality inspection requirements, the progress of manual quality inspection is generally relatively slow, and the inspection process is also prone to missed or wrong inspections. The problem. Therefore, the qualified rate of manual inspection is difficult to reach 100%. It can be seen that supporting quality inspect...
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IPC IPC(8): G06T7/00G06T7/11G06T7/90G06F17/18
CPCG06T7/0004G06T7/11G06T7/90G06F17/18G06T2207/30168
Inventor 徐东桂徐颖晨
Owner 广州市华懋科技发展有限公司