Shaft diameter measurement using digital image composition at two different object distances

2nd International Workshop on Materials Science and Mechanical Engineering

机械制造;材料科学

Hao, F.^1 ; Shi, J.J.^1 ; Chen, D.L.^1 ; Wang, F.^1 ; Hu, Y.T.^1

Key Laboratory of Rail Transit Equipment, Nanjing Institute of Technology, Nanjing

211167, China^1

关键词: Digital image;    Machine vision systems;    Measurement accuracy;    Object distance;    Pinhole imaging;    Shaft diameter;    Similar triangles;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/504/1/012097/pdf
DOI  :  10.1088/1757-899X/504/1/012097

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

A new machine visionmeasuring scheme was presented to improve the measurement accuracies of machine vision systems with an ordinary industrial lens and thus to address the extensive requirements for accurately measuring the diameter of shafts. First, method for measuring diameters based on two images was derived on the basis of a pinhole imaging principle, similar triangles and tangent property theorems. Then, a machine visionmeasuring system was introduced. Finally, experiments were performed on a transmission screw, and the results indicate that the method has achieved a higher measurement accuracy, with systematic errors of approximately 2 μm and uncertainties of 4.9 μm.