Tire internal defect detection method based on X-ray

A technology of internal defects and detection methods, applied in neural learning methods, computer components, image enhancement, etc., can solve problems such as tires cannot be detected intuitively, poor imaging and detection effects, and product quality decline, so as to eliminate defective products Effects of outflow, objective results, and manufacturing cost reduction

Pending Publication Date: 2022-06-07
FOSHAN NANHAI GUANGDONG TECH UNIV CNC EQUIP COOP INNOVATION INST
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AI Technical Summary

Problems solved by technology

Since the inside of the tire cannot be detected intuitively, how to detect the internal structure quality of the tire more accurately has become the focus and difficulty of the current detection
[0003] The current non-destructive testing mainly includes ultrasonic, magnetic particle and X-ray testing. Due to the limitation of materials, the former two have poor imaging and testing effects under tire materials.
However, X-ray inspection cannot detect defects in the traveler part, resulting in a decline in product quality

Method used

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  • Tire internal defect detection method based on X-ray

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Embodiment Construction

[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work shall fall within the protection scope of the present invention.

[0027] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "top", "bottom", "front", " Rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", etc. The relationship is based on the orientation or positional relationship shown in the drawings, only for the convenience of describing th...

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Abstract

The invention provides an X-ray-based tire internal defect detection method, which comprises the following steps of S1, obtaining a tire X-ray image, and performing image preprocessing; s2, segmenting the preprocessed image in the step S1, and extracting a traveler region image; s3, training a target detection neural network model; s4, inputting the traveler region image obtained in the step S2 into the training model in the step S3, and performing defect positioning and classification; s5, outputting a defect result; according to the invention, the quality defect of the position of the steel wire ring in the tire can be quickly detected, and the radial tire defect automatic detection system suitable for the production state is formed, so that the production quality of the tire is ensured, and defective products are prevented from flowing out.

Description

technical field [0001] The invention relates to a tire internal defect detection method, in particular to a tire internal defect detection method based on X-rays. Background technique [0002] With the increase of domestic car ownership year by year, people pay attention to the driving safety of the car. As an important component of the car, the quality of the tire directly determines the safety of the car. In order to avoid the quality problems inside the tire However, it brings safety hazards to the driving of automobiles, and the quality inspection of tires before leaving the factory has become a key production link required by automobile manufacturers. Since the inside of the tire cannot be inspected intuitively, how to detect the internal structural quality of the tire more accurately has become the focus and difficulty of the current inspection. [0003] The current non-destructive testing mainly includes ultrasonic, magnetic particle and X-ray testing. The first two ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/73G06V10/26G06V10/28G06V10/34G06V10/774G06V10/80G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06T7/0004G06T7/75G06N3/08G06T2207/10116G06T2207/20076G06T2207/20081G06T2207/30248G06N3/043G06F18/253G06F18/214
Inventor 魏登明李泽辉杨海东杨标
Owner FOSHAN NANHAI GUANGDONG TECH UNIV CNC EQUIP COOP INNOVATION INST
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