Deep learning-based tire defect intelligent detection method

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...

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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

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