Machine vision-based curved glass defect detection device and method
A technology for curved glass and defect detection, applied in the field of visual inspection, can solve problems such as difficulty in image acquisition, achieve high imaging contrast, reduce defect missed detection, and achieve the effect of defect detection
Active Publication Date: 2018-10-26
SOUTH CHINA UNIV OF TECH
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[0004] The purpose of the present invention is to overcome the defects and deficiencies of the prior art, and to provide a machine vision-based curved glass defect detection device, which can flexibly and stably detect 3D curved glass, and realize automatic detection of scratches, cracks, chipping, etc. Common appearance defects, solve the problem of difficulty in obtaining defect images caused by reflections caused by curved surface structural features, avoid missed inspections, simple device structure, and easy operation
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[0030] Hereinafter, the present invention will be further described in detail with reference to the examples and drawings, but the implementation of the present invention is not limited thereto.
[0031] Such as Figure 1-2 As shown, an embodiment of the present invention provides a curved glass defect detection device based on machine vision, which includes an image acquisition device, a transmission device and a fixture 10. The image acquisition device is used to acquire images of curved glass; the fixture 10 is used to position and clamp the curved glass; the image acquisition device and the fixture are installed on the transmission device. The transmission device controls the position of the image acquisition device and the curved glass, so that an effective detection area is formed on the curved glass directly below the image acquisition device.
[0032] The image acquisition device includes a camera 1, a lens 2 and a light source 5. The lens 2 is connected to the camera 1 th...
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Abstract
The invention discloses a machine vision-based curved glass defect detection device and method. The device comprises an image acquisition device, a transmission device and a clamp; the image acquisition device is used for acquiring an image of curved glass; the clamp is used for positioning and clamping the curved glass; the image acquisition device and the clamp are installed on the transmissiondevice; and the transmission device controls the positions of the image acquisition device and the curved glass to enable an effective detection region to be formed on the curved glass below the imageacquisition device. The device can flexibly and stably detect the 3D curved glass, solves the problem of difficulty in defect image acquisition brought by light reflection caused by curved surface structure characteristics, realizes automation detection of common appearance defects including scratches, cracks and edge breakage, avoids the detection leakage phenomenon and is simple in structure and convenient to operate.
Description
Technical field [0001] The invention relates to the technical field of visual inspection, in particular to a curved glass defect detection device and method based on machine vision. Background technique [0002] In recent years, driven by 5G, wireless charging, OLED and other technologies, 3D curved glass has been favored by various 3C product companies. At the same time, 3D curved glass is loved by consumers for its beautiful appearance and excellent performance. As an important part of smart phones, 3D curved glass not only plays a protective role, but also determines the beauty of the phone and the consumer experience. However, in the process of manufacturing and transportation, defects such as scratches, cracks, chipping, and foreign objects will inevitably occur. Therefore, 3D curved glass should be tested in time during the production process. [0003] Machine vision inspection technology is widely used in the field of product inspection due to its high degree of automatio...
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IPC IPC(8): G01N21/88G01N21/958G01N21/95
CPCG01N21/8806G01N21/8851G01N21/95G01N21/958G01N2021/8822G01N2021/8887G01N2021/9511
Inventor 张宪民李常胜王昌书欧阳健燊李凯宁华奕然
Owner SOUTH CHINA UNIV OF TECH