Drawing wire surface defect detection system and method based on artificial intelligence
A technology of artificial intelligence and defect detection, which is applied in the direction of optical testing of defects/defects, measuring devices, and material analysis through optical means, to achieve the effects of avoiding unqualified products, fast installation, and simple structure
Inactive Publication Date: 2021-07-27
程志伟
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[0004] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a system and method for detecting surface defects based on artificial intelligence drawing wires
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[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0049] Such as Figure 1-2 As shown, the artificial intelligence-based drawing line surface defect detection system includes a six-sided column optical detection platform, an image processing module, a controller, a real-time early warning module, and an early warning management module;
[0050] The hexahedron optical detection platform includes a rotary encoder trigger module, a hexahedron image acquisition module and a parallel shadowless light illumination modul...
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The invention discloses a drawing wire surface defect detection system and method based on artificial intelligence, and relates to the technical field of artificial intelligence. Product defect detection is realized by adopting a six-surface column optical detection platform and a deep learning recognition algorithm, drawing wire product defect automatic detection is realized, traditional manual detection is replaced, the influence of uncertain factors of a traditional detection mode is reduced, and the product quality is improved; the system comprises a hexahedral column optical detection platform, an image processing module, a controller, a real-time early warning module and an early warning management module. the real-time early warning module is used for carrying out early warning analysis on the analysis result and determining whether the corresponding drawing wire equipment has a trend of producing unqualified products or not; production parameters of wire drawing equipment can be adjusted in time, and unqualified products are avoided; the early warning management module is used for receiving an early warning instruction and then reasonably distributing corresponding management personnel for maintenance according to the inspection and distribution value, so that the maintenance efficiency is improved; and meanwhile, the production qualification rate of products can be improved.
Description
technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a detection system and method for drawing wire surface defects based on artificial intelligence. Background technique [0002] Visual measurement technology is a comprehensive technology integrating modern technologies such as vision, optics, electronics, computer and automatic control. It has outstanding advantages such as non-contact, fast speed, high degree of automation, and good flexibility. Machine vision is a technology that uses machines instead of human eyes to detect and judge whether products meet production requirements. Machine vision technology involves disciplines in many fields, including artificial intelligence, neurobiology, psychophysics, computer science, image processing, pattern recognition, etc. Machine vision mainly uses image acquisition equipment to simulate human visual functions, obtain objective images, extract data from images, proce...
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IPC IPC(8): G01N21/952G01N21/88
CPCG01N21/8851G01N21/952G01N2021/8887
Inventor 程志伟吴勇王振华
Owner 程志伟