• Laser & Optoelectronics Progress
  • Vol. 59, Issue 14, 1415006 (2022)
Zhaoyao Shi1,*, Yiming Fang1, and Xiaoyi Wang2
Author Affiliations
  • 1Beijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology, Beijing 100124, China
  • 2Henan Key Laboratory for Machinery Design and Transmission System, Henan University of Science and Technology, Luoyang 471003, Henan , China
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    DOI: 10.3788/LOP202259.1415006 Cite this Article Set citation alerts
    Zhaoyao Shi, Yiming Fang, Xiaoyi Wang. Research Progress in Gear Machine Vision Inspection Instrument and Technology[J]. Laser & Optoelectronics Progress, 2022, 59(14): 1415006 Copy Citation Text show less
    Composition of the gear visual inspection instrument. (a) Gear accuracy measuring system; (b) gear defect inspection system
    Fig. 1. Composition of the gear visual inspection instrument. (a) Gear accuracy measuring system; (b) gear defect inspection system
    CVGM fine module gear measuring system. (a) CVGM software; (b) CVGM instrument
    Fig. 2. CVGM fine module gear measuring system. (a) CVGM software; (b) CVGM instrument
    Gear integrated error analysis based on vision measurement
    Fig. 3. Gear integrated error analysis based on vision measurement
    Conveyor belt gear visual inspection system[12]
    Fig. 4. Conveyor belt gear visual inspection system[12]
    Gear visual inspection equipment using manipulator and automatic device
    Fig. 5. Gear visual inspection equipment using manipulator and automatic device
    Gear visual inspection and sorting system with glass turntable[13]
    Fig. 6. Gear visual inspection and sorting system with glass turntable[13]
    Software interface of on-line inspection and sorting system for injection molded plastic gears
    Fig. 7. Software interface of on-line inspection and sorting system for injection molded plastic gears
    Tooth profile extraction based on Canny operator
    Fig. 8. Tooth profile extraction based on Canny operator
    Sub-pixel edge processing
    Fig. 9. Sub-pixel edge processing
    Gear defect feature extraction and pattern recognition[36]
    Fig. 10. Gear defect feature extraction and pattern recognition[36]
    Integrated error curve of bidirectional section obtained by CVGM
    Fig. 11. Integrated error curve of bidirectional section obtained by CVGM
    Calibration of image acquisition system and “virtual gear artifact” of CVGM. (a) Calibration piece; (b) virtual gear template
    Fig. 12. Calibration of image acquisition system and “virtual gear artifact” of CVGM. (a) Calibration piece; (b) virtual gear template
    Types of gear defects
    Fig. 13. Types of gear defects
    OperatorDifferential orderNoise immunityEdge thicknessEdge integritySpeed
    RobertsFirstBadThickNot badFast
    PrewittFirstNot goodThickNot badFast
    SobelFirstAverageThickNot badFast
    CannyFirstGoodThinGoodRelatively slow
    LaplacianSecondBadThickBadFast
    LoGSecondAverageThickNot badFast
    DoGSecondAverageThickNot badFaster than LoG
    Table 1. Performance comparison of classical differential operators in gear edge detection
    Zhaoyao Shi, Yiming Fang, Xiaoyi Wang. Research Progress in Gear Machine Vision Inspection Instrument and Technology[J]. Laser & Optoelectronics Progress, 2022, 59(14): 1415006
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