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Deep learning-based tire defect intelligent detection method

A deep learning and intelligent detection technology, applied in image data processing, instruments, calculations, etc., can solve the problems of recognition efficiency and accuracy not meeting production requirements, unsatisfactory detection results, and easy formation of occupational diseases, etc., to reduce the probability of tire defects , save labor costs, good detection ability effect

Active Publication Date: 2018-10-26
SHENYANG LIGONG UNIV
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AI Technical Summary

Problems solved by technology

[0002] At present, most domestic tire manufacturers still rely on human eyes to identify X-ray images to diagnose tire defects. The recognition efficiency and accuracy are far from meeting the production requirements, and it is easy to cause occupational diseases
In recent years, many domestic scholars are also working on the research of automatic detection methods for tire defects, but there are few successful cases of application. However, the existing intelligent detection systems for tire defects in foreign countries are expensive and the detection results are not satisfactory. At present, my country urgently needs independent intellectual property rights. The tire defect intelligent detection system overcomes the disadvantages of the traditional manual judgment method, thereby greatly improving the tire quality detection accuracy and detection speed, thereby improving the production efficiency of the enterprise, reducing the labor cost of the enterprise, and promoting the quality and efficiency of the enterprise

Method used

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  • Deep learning-based tire defect intelligent detection method
  • Deep learning-based tire defect intelligent detection method
  • Deep learning-based tire defect intelligent detection method

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Embodiment Construction

[0065] For the system equipment acquisition scheme, see figure 1

[0066] The identification system transforms the original X-ray, and divides the original video into two channels through the video distributor, one for the operator to monitor and use, and the other for the identification system, and the identification system collects the video into the management server through a high-speed acquisition card, After the management server stitches the images together, it generates a complete image of the tire, and then divides the image into left, middle and right regions according to the crown, sidewall and other regions. Each region has a side length of 0.4×b w (X-ray image width) square, and press b w ×0.4b w The intercepted overall situation forms four recognition regions. After division by area, the divided data is sent to the computing unit group, identified by the identification algorithm and the identification result is sent back to the management server. Each tire de...

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Abstract

The invention discloses a deep learning-based tire defect intelligent detection method. According to the method, based on an original X-ray detection device, an original video is divided into two channels through a video distributor; one channel is used for an operator to perform manual judgment, and the other channel is used for collecting an X-ray image through a high-speed video collection cardand transmitting the X-ray image to an identification system; and automation is realized by utilizing an artificial intelligence technology, so that the productivity is improved and the labor cost isreduced.

Description

Technical field: [0001] The invention designs a tire defect intelligent detection method based on deep learning, which belongs to the field of tire detection. Background technique: [0002] At present, most domestic tire manufacturers still rely on human eyes to identify X-ray images to diagnose tire defects. The recognition efficiency and accuracy are far from meeting the production requirements, and it is easy to cause occupational diseases. In recent years, many domestic scholars are also working on the research of automatic detection methods for tire defects, but there are few successful cases of application. However, the existing intelligent detection systems for tire defects in foreign countries are expensive and the detection results are not satisfactory. At present, my country urgently needs independent intellectual property rights. The tire defect intelligent detection system overcomes the disadvantages of the traditional manual judgment method, thereby greatly impr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T3/40G06T7/13
CPCG06T3/4038G06T7/0006G06T7/11G06T7/13G06T2207/30108G06T2207/20084G06T2207/20081
Inventor 陈亮齐宏伟饶兵刘韵婷
Owner SHENYANG LIGONG UNIV
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