基于机器视觉的工件加工自标定策略研究

2021 19th International Conference on Optical Communications and Networks (ICOCN) Pub Date : 2021-08-23 DOI:10.1109/ICOCN53177.2021.9563710

Zhenqi Wang, Dong Guo, Yongjin Wang, Chunyong Wang, Wending Wei, Runan Ding

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引用次数: 2

摘要

基于机器视觉测量技术，通过测量工厂装配线上生产的工件的精确尺寸，研究了自校准加工设备。采用霍夫圆检测算法和亚像素边缘算法。经过多次实验，该装置的测量精度可达到0.05mm，满足了测量精度的设计要求。自标定参数通过传输层发送到加工设备，降低废品率，提高企业效益。

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Research on Self-calibration Strategy of Workpiece Processing Based on Machine Vision

Self-calibration processing equipment is studied through measuring the precise size of the workpiece produced in the factory assembly line based on the machine vision measurement technology. Hough circle detection algorithm and subpixel edge algorithm are adopted. After several experiments, the measuring accuracy of the device can reach 0.05mm, which meets the design requirements of measurement accuracy. The self-calibration parameters are sent to the processing equipment through the transmission layer to reduce the rejection rate and improve the enterprise benefits.

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来源期刊

2021 19th International Conference on Optical Communications and Networks (ICOCN)

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