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Gray cloth defect visual inspection equipment and method

A visual detection and defect technology, applied in the direction of optical testing defects/defects, etc., can solve the problems of high price, poor stability, popularization and promotion of automatic cloth inspection machines, and insufficient technical maturity, so as to increase production efficiency and reduce labor intensity. , the effect of real-time guarantee

Pending Publication Date: 2017-07-21
FOSHAN NANHAI GUANGDONG TECH UNIV CNC EQUIP COOP INNOVATION INST
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AI Technical Summary

Problems solved by technology

Relevant manufacturers can be found at home and abroad to provide automatic cloth checking machines, but their technology is not mature enough, the price is high, and the stability is poor, which has become a huge obstacle to the popularization of automatic cloth checking machines.

Method used

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  • Gray cloth defect visual inspection equipment and method
  • Gray cloth defect visual inspection equipment and method
  • Gray cloth defect visual inspection equipment and method

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Embodiment Construction

[0045] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0046] Aiming at the deficiencies of the existing detection technology, combined with the needs of various weaving factories, the present invention provides a visual detection device for gray cloth defects, which can automatically detect gray cloth defects and save the defect data in the local database. Its detection speed and The detection rate is much higher than that of manual inspection, which increases the production efficiency of the textile mill, greatly reduces the labor intensity, and reduces the labor cost of the textile factory in quality inspection. Simultaneously, the invention also provides a multi-thread-based gray cloth quality detection algorithm framework, so that the real-time performance of the algorithm is guaranteed. The maximum detection speed of the solution reaches 6.5 m / s, and the maximum detection width is 2 meters.

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PUM

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Abstract

Aiming at the deficiency of the conventional inspection technology in combination with the demands of various textile factories, the invention provides gray cloth defect visual inspection equipment. The equipment at least comprises a visual inspection platform and an ink jet marking mechanism, a multithreaded gray cloth quality inspection algorithm is adopted through a visual detection platform to perform defect inspection and identification, and the ink jet marking mechanism is used for marking. The equipment can automatically realize gray cloth defect inspection and stores defect data into a local database, and the inspection speed and inspection rate thereof are greatly higher than that of manual inspection, therefore, the production efficiency of the textile factories is improved, the manual labor intensity is lowered greatly, and the labor expenses in terms of quality inspection of the textile factories are reduced.

Description

technical field [0001] The invention belongs to the technical field of textiles, and in particular relates to a visual inspection device and method for knitted gray cloth. Background technique [0002] In the textile industry, if there is a defect in the cloth, the price will be reduced by 45%-65%, and the fabric defect seriously affects the economic income of the textile industry. Therefore, cloth defect detection is one of the key tasks of textile mills. For a long time, cloth inspection is generally done manually. Manual detection speed is generally 15-20 meters per minute. Manual inspection relies on the experience and proficiency of cloth inspection personnel, and the evaluation standards are unstable and inconsistent, so false detections and missed inspections often occur, and skilled cloth inspection personnel can only find about 70% of the defects. In addition, cloth defect detection is a heavy and tasteless physical labor for workers, and it greatly damages the e...

Claims

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Application Information

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IPC IPC(8): G01N21/95
CPCG01N21/95
Inventor 李力黄坤山王华龙李志鹏彭博
Owner FOSHAN NANHAI GUANGDONG TECH UNIV CNC EQUIP COOP INNOVATION INST
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