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| Construction of On-line Image Acquisition Device for Cylindrical Metal Pipe Fittings and Control Optimization of Key Parameters |
| TAO Guohao1,LIU Zihao2,3,XU Xiaomeng4,LU Yebo2,TAO Kai5,HONG Zhe5 |
1. Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
2. Jiaxing University, Jiaxing, Zhejiang 314033
3. Tianjin University, Tianjin 300072, China
4. China Jiliang University, Hangzhou,Zhejiang 310018, China
5. Zhejiang Master Hydraulic Pipe Fittings Co, LTD,Jiaxing, Zhejiang 314303, China |
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Abstract The appearance of defects in cylindrical metal pipe fittings during the production process is random, and it is difficult for traditional mono- and binocular machine vision systems to acquire the full-surface information of the pipe fittings, an on-line image acquisition scheme for the full surface of the pipe fittings is proposed to realize high-quality and all-round imaging information collection. Firstly, by acquiring the two-dimensional image captured by a single camera, establishing the correspondence between the two-dimensional image and the surface covered by the column, calculating the actual pipe surface coverage angle corresponding to the two-dimensional image, and judging the number of cameras required to acquire the full-surface information of pipe fittings, we adopt multi-camera coordination with the real-time acquisition of the image in the clockwise direction of the disk. Secondly, a multi-factor experimental program is established based on the response surface design method to evaluate the effects of aperture value, exposure time and gain of the camera lens on image quality. The optimal camera parameters of cylindrical side camera and cylindrical ends camera are determined at the acceptable maximum speed to reduce the influence of motion blur and improve the efficiency of shooting. Finally, based on the optimal parameters, the images of metal pipe fittings are acquired and evaluated on-line in real-time to retain better quality images of pipe fittings. The experimental results meet the requirements of high-quality, fine defects clear metal surface defect detection data, and lay a foundation for the subsequent study of real-time defect detection of cylindrical metal pipe fittings.
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Received: 10 November 2023
Published: 30 September 2024
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2024, Vol. 45 
