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Sensors 2016, 16(9), 1364;

A Bevel Gear Quality Inspection System Based on Multi-Camera Vision Technology

School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Received: 6 July 2016 / Revised: 17 August 2016 / Accepted: 23 August 2016 / Published: 25 August 2016
(This article belongs to the Special Issue Imaging: Sensors and Technologies)
Full-Text   |   PDF [13846 KB, uploaded 25 August 2016]   |  


Surface defect detection and dimension measurement of automotive bevel gears by manual inspection are costly, inefficient, low speed and low accuracy. In order to solve these problems, a synthetic bevel gear quality inspection system based on multi-camera vision technology is developed. The system can detect surface defects and measure gear dimensions simultaneously. Three efficient algorithms named Neighborhood Average Difference (NAD), Circle Approximation Method (CAM) and Fast Rotation-Position (FRP) are proposed. The system can detect knock damage, cracks, scratches, dents, gibbosity or repeated cutting of the spline, etc. The smallest detectable defect is 0.4 mm × 0.4 mm and the precision of dimension measurement is about 40–50 μm. One inspection process takes no more than 1.3 s. Both precision and speed meet the requirements of real-time online inspection in bevel gear production. View Full-Text
Keywords: multi-camera vision; bevel gear; defect detection; dimension measurement multi-camera vision; bevel gear; defect detection; dimension measurement

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Liu, R.; Zhong, D.; Lyu, H.; Han, J. A Bevel Gear Quality Inspection System Based on Multi-Camera Vision Technology. Sensors 2016, 16, 1364.

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