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Precision detection of geometric accuracy of tiny bearings based on machine vision
Published:2023-04-20 author:LIN Hai-bo, YANG Jian-xi. Browse: 1243 Check PDF documents
Precision detection of geometric accuracy of tiny bearings based 
on machine vision


LIN Hai-bo, YANG Jian-xi

(School of Mechanical Engineering, Taizhou Vocational & Technical College, Taizhou 318000, China)


Abstract:  Micro bearings were widely used in precision instruments and equipment, and the accuracy of their inner and outer diameter dimensions and coaxiality were closely related to the precision and accuracy of the entire instrument. Therefore, in view of the lack of research on the detection of the inner and outer diameters and geometric tolerances of rolling bearings and the low accuracy, a machine vision-based detection method for the precision and high-efficiency of the geometric quantity of small bearings was proposed. Firstly, high-quality bearing images were obtained through a backlight vision system, and an anisotropic bilateral filtering (ABF) algorithm was used for filtering. Then, the sub-pixel information of the edge of the inner and outer circles was obtained to accurately calculate the boundary position based on the cubic curve model of local area features. Finally, the inner and outer diameters of the measured bearings and their coaxiality were calculated, and the experimental data was analyzed to judge whether the bearings were qualified or not, which verified the feasibility and superiority of the method. The experimental results show that the accuracy of this method can reach 3μm,realize non-contact, high-precision, intelligent and fast target detection of part size. The method has high detection efficiency and good accuracy, and can detect multiple indicators at the same time. The conclusion is stable and reliable, and both accuracy and precision can meet the requirements of industrial detection.

Key words:  micro bearing quality detection; visual inspection of rolling bearing; anisotropic bilateral filtering(ABF); third-order function model; sub-pixel; coaxiality
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