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Optical and thermal infrared multi-stage imaging detection method and device for defects of transparent component

A technology of thermal infrared imaging and imaging detection, which is applied in measuring devices, material defect testing, optical radiation measurement, etc., can solve problems such as small size, many types, and insignificance, and achieve improved accuracy, effective defect identification, and information volume rich effect

Active Publication Date: 2020-02-21
GUANGDONG HUST IND TECH RES INST
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Problems solved by technology

However, due to the characteristics of 3C transparent components: small size, many types, and inconspicuousness, if only relying on conventional visible light for identification, its detection accuracy needs to be improved

Method used

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  • Optical and thermal infrared multi-stage imaging detection method and device for defects of transparent component
  • Optical and thermal infrared multi-stage imaging detection method and device for defects of transparent component
  • Optical and thermal infrared multi-stage imaging detection method and device for defects of transparent component

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specific example

[0085] S1, use two ultra-depth-of-field infrared modules to perform thermal infrared imaging on 3C transparent components, and perform interval sampling on the two imaging videos obtained, each extracting 7 frames of 60×40 pixel video, a total of 60×40 pixel size, 7 frames 2 sections of video, namely the first infrared video and the second infrared video;

[0086] S2, using the first convolutional neural network (3D-CNN) model to extract data features from the first infrared video and the second infrared video, and calculate the probability of belonging to different defect categories, the defect categories include normal, cracks, bubbles, scratches, Chipping;

[0087] S3. Compress the size of the optical imaging image to 60×40 pixels, and randomly extract 2 pictures from the imaging videos of the two ultra-depth-of-field infrared imaging modules, a total of 4 infrared forming images, all of which are 60×40 pixels in size, so as to obtain a total 5 images of 60×40 pixels;

[...

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Abstract

The invention discloses an optical and thermal infrared multi-stage imaging detection method and device for defects of a transparent component, and the method comprises the following steps: carrying out the optical imaging of a 3C transparent component, obtaining an optical image, and preliminarily judging the position and size of the defects of the 3C transparent component; using nitrogen to heatthe defect position of the 3C transparent component, carrying out thermal infrared imaging, and obtaining a thermal infrared image; and fusing the optical image and the thermal infrared image, and then recognizing the defect type of the 3C transparent component through deep learning. The device comprises an optical detection module, a thermal infrared detection module, a motion control module, adata fusion module, a deep learning module, an auxiliary manipulator and a display alarm module which are in communication connection with one another through a bus. Through optical imaging and thermal infrared ultrasonic imaging, multi-physical-quantity and multi-stage detection is carried out on a defective product, and then optical and infrared multi-source information fusion is completed through the convolutional neural network, so that the identification rate of defect detection of the 3C transparent component is improved.

Description

technical field [0001] The invention relates to a defect detection method of a 3C transparent component, in particular to an optical and thermal infrared multi-stage imaging detection method and device for a defect of a 3C transparent component. Background technique [0002] In my country's 3C industry, the application of transparent components continues to grow, especially with the rapid advancement of 5G technology, glass components are widely used in terminal communication products. However, due to the characteristics of transparent components in the 3C industry, the difficulty of defect detection is constantly increasing. At present, many production enterprises mainly rely on manual inspection, and the degree of automation is not high. However, the manual method relies on the experience of workers, it is difficult to unify the standard scale, and the labor intensity is very high, which affects the health of eyesight. Skilled workers have to transfer before retirement ag...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06N3/04G06K9/00G06K9/46G01N21/958G01N25/72G01J5/00
CPCG06T7/0004G01N21/958G01N25/72G01J5/00G06T2207/10048G06T2207/20081G06T2207/30108G06T2207/20221G01J2005/0077G06V20/10G06V10/40G06N3/045
Inventor 张国军明五一张臻尹玲陈志君张红梅廖敦明卢亚耿涛沈帆
Owner GUANGDONG HUST IND TECH RES INST
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