Design of the detection system for the position of the crankshaft flange hole group based on vision measurement technology

Luhua Fu; Yutong Hu; Jiaming Pang; Liu Dong; Jia Shuai; Baoqiang Ma

doi:10.1117/12.2625035

27 March 2022 Design of the detection system for the position of the crankshaft flange hole group based on vision measurement technology

Luhua Fu, Yutong Hu, Jiaming Pang, Liu Dong, Jia Shuai, Baoqiang Ma

Author Affiliations +

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121697J (2022) https://doi.org/10.1117/12.2625035
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

This paper studies a method of detecting the position of crankshaft flange hole group based on vision measurement, and sets up the position detection system of crankshaft flange hole group. The relative measurement model of hole group position is established by using the standard crankshaft information, and the system calibration method is studied. In this paper, a multi-camera calibration method based on polynomial fitting two-dimensional image mapping model is adopted. In addition, the image processing technology of hole group is studied. The improved Canny edge detection method is used to extract the contour of the hole group. Redundant edge filtering algorithm is used to eliminate unreliable edges. Then use the gradient interpolation method to extract sub-pixel edges. The measurement results show that the single-direction measurement error of the central coordinate of the crankshaft flange hole group is less than 0.07mm, and the repeatability error is less than 0.009mm, which provides a basis for the realization of industrial online efficient detection.

Citation Download Citation

Luhua Fu, Yutong Hu, Jiaming Pang, Liu Dong, Jia Shuai, and Baoqiang Ma "Design of the detection system for the position of the crankshaft flange hole group based on vision measurement technology", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121697J (27 March 2022); https://doi.org/10.1117/12.2625035

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