• Acta Optica Sinica
  • Vol. 38, Issue 8, 0815002 (2018)
Rongsheng Lu1、*, Ang Wu1、2, Tengda Zhang1, and Yonghong Wang1
Author Affiliations
  • 1 School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, Anhui 230009, China
  • 2 College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, Henan 450002, China
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    DOI: 10.3788/AOS201838.0815002 Cite this Article Set citation alerts
    Rongsheng Lu, Ang Wu, Tengda Zhang, Yonghong Wang. Review on Automated Optical (Visual) Inspection and Its Applications in Defect Detection[J]. Acta Optica Sinica, 2018, 38(8): 0815002 Copy Citation Text show less
    Schematic diagram of the structure of TFT-LCD module and the defects on different layers
    Fig. 1. Schematic diagram of the structure of TFT-LCD module and the defects on different layers
    AOI basic principle
    Fig. 2. AOI basic principle
    Schematic diagram of multi-sensor AOI system
    Fig. 3. Schematic diagram of multi-sensor AOI system
    Schematic diagram of AOI system structure for inspecting TFT and filter array substrates
    Fig. 4. Schematic diagram of AOI system structure for inspecting TFT and filter array substrates
    Angle resolution inspection with the techniques of spot canning and multi-channel imaging.(a) Multi-channel scanning imaging principle; (b) image from a document scanner; (c) surface patterns obtained by point scanning with dark field imaging; (d) surface oil stain and fingerprint pattern obtained by point scanning with low angle imaging; (e) surface gradient map obtained by spot scanning with coaxial brightfield imaging
    Fig. 5. Angle resolution inspection with the techniques of spot canning and multi-channel imaging.(a) Multi-channel scanning imaging principle; (b) image from a document scanner; (c) surface patterns obtained by point scanning with dark field imaging; (d) surface oil stain and fingerprint pattern obtained by point scanning with low angle imaging; (e) surface gradient map obtained by spot scanning with coaxial brightfield imaging
    Principle architecture of block parallel high-speed processing
    Fig. 6. Principle architecture of block parallel high-speed processing
    Schematic diagram of on-line AOI system mechanism for inspecting mobile backlight model
    Fig. 7. Schematic diagram of on-line AOI system mechanism for inspecting mobile backlight model
    Light scattering model on surface
    Fig. 8. Light scattering model on surface
    Typical lighting types. (a) Brightfield lighting; (b) axial brightfield lighting; (c)darkfield lighting; (d) low angle darkfield lighting; (e) diffuse lighting; (f) back lighting
    Fig. 9. Typical lighting types. (a) Brightfield lighting; (b) axial brightfield lighting; (c)darkfield lighting; (d) low angle darkfield lighting; (e) diffuse lighting; (f) back lighting
    Comparison of different lighting effects. (a) Brightfield ring light illumination; (b) linear darkfield lighting with low angle; (c) brightfield ring lighting; (d) diffuse lighting
    Fig. 10. Comparison of different lighting effects. (a) Brightfield ring light illumination; (b) linear darkfield lighting with low angle; (c) brightfield ring lighting; (d) diffuse lighting
    Angle resolution relationship of surface defects of steel plate with camera and light source. (a) Angle relationship between camera and light; (b) angle resolution of defects
    Fig. 11. Angle resolution relationship of surface defects of steel plate with camera and light source. (a) Angle relationship between camera and light; (b) angle resolution of defects
    Color disk showing warm and cool colors
    Fig. 12. Color disk showing warm and cool colors
    Lighting color, object feature color and imaging effects
    Fig. 13. Lighting color, object feature color and imaging effects
    Imaging effect of red and blue illumination on aluminum alloy bottle cap. (a) Bottle cap to be inspected; (b) effect with red light illumination; (c) effect with blue light illumination
    Fig. 14. Imaging effect of red and blue illumination on aluminum alloy bottle cap. (a) Bottle cap to be inspected; (b) effect with red light illumination; (c) effect with blue light illumination
    Positions of ultraviolet, visible and infrared bands in electromagnetic spectrum
    Fig. 15. Positions of ultraviolet, visible and infrared bands in electromagnetic spectrum
    Temperature and infrared radiation spectrum curve
    Fig. 16. Temperature and infrared radiation spectrum curve
    Comparison of visible and infrared spectra imaging
    Fig. 17. Comparison of visible and infrared spectra imaging
    Infrared imaging filtering effect. (a) Effect with white light; (b) effect with infrred light
    Fig. 18. Infrared imaging filtering effect. (a) Effect with white light; (b) effect with infrred light
    Infrared light penetration. (a) Effect using 660 nm red light; (b) effect using 880 nm infrared light
    Fig. 19. Infrared light penetration. (a) Effect using 660 nm red light; (b) effect using 880 nm infrared light
    Non thermal infrared vision and thermal infrared AOI technology
    Fig. 20. Non thermal infrared vision and thermal infrared AOI technology
    Spectral distribution of UV-LED and mercury lamp
    Fig. 21. Spectral distribution of UV-LED and mercury lamp
    Comparison of the ability of ultraviolet light to particle scattering. (a) 266 nm; (b) 470 nm; (c) 532 nm; (d) 633 nm
    Fig. 22. Comparison of the ability of ultraviolet light to particle scattering. (a) 266 nm; (b) 470 nm; (c) 532 nm; (d) 633 nm
    Differential detection of spray paint on the car body with UV reflection method. (a) Same color presented under visible light; (b) color difference presented under ultraviolet light
    Fig. 23. Differential detection of spray paint on the car body with UV reflection method. (a) Same color presented under visible light; (b) color difference presented under ultraviolet light
    Principle of ultraviolet fluorescence detection
    Fig. 24. Principle of ultraviolet fluorescence detection
    Stokes shift
    Fig. 25. Stokes shift
    Change of light vector on medium interface
    Fig. 26. Change of light vector on medium interface
    Reflection and transmission of light on metal surface
    Fig. 27. Reflection and transmission of light on metal surface
    Eliminating the influence of glare or bright spot on reflective surface by polarized imaging. (a) Image without polarizer; (b) image with polarizer
    Fig. 28. Eliminating the influence of glare or bright spot on reflective surface by polarized imaging. (a) Image without polarizer; (b) image with polarizer
    Reflective polarized lighting and imaging
    Fig. 29. Reflective polarized lighting and imaging
    Reflective images using ordinary lighting and polarized lighting, respectively. (a) Ordinary lighting; (b) polarized lighting
    Fig. 30. Reflective images using ordinary lighting and polarized lighting, respectively. (a) Ordinary lighting; (b) polarized lighting
    Photoelastic effect. (a) Polarization image obtained by photoelastic method; (b) unfiltered image
    Fig. 31. Photoelastic effect. (a) Polarization image obtained by photoelastic method; (b) unfiltered image
    Stress and micro crack test with transmission polarization imaging
    Fig. 32. Stress and micro crack test with transmission polarization imaging
    Teledyne Dalsa 's four line CMOS polarization camera and imaging results. (a) Teledyne Dalsa's polarized camera; (b) stress measurement results
    Fig. 33. Teledyne Dalsa 's four line CMOS polarization camera and imaging results. (a) Teledyne Dalsa's polarized camera; (b) stress measurement results
    Stokes parameter evaluation results
    Fig. 34. Stokes parameter evaluation results
    Propagation characteristics of light in a vertical stratified fluid medium
    Fig. 35. Propagation characteristics of light in a vertical stratified fluid medium
    Schematic diagram of double field mirror schlieren measurement
    Fig. 36. Schematic diagram of double field mirror schlieren measurement
    Practical two field mirrors schlieren measurement optical system
    Fig. 37. Practical two field mirrors schlieren measurement optical system
    Schematic diagram of direct shadow imaging
    Fig. 38. Schematic diagram of direct shadow imaging
    Optical path of laser collimation lighting direct shadow imaging
    Fig. 39. Optical path of laser collimation lighting direct shadow imaging
    Optical path of focus shadow imaging
    Fig. 40. Optical path of focus shadow imaging
    Holographic interferometry in AOI. (a) Reference interferogram generation and recording; (b) speckle interference test process
    Fig. 41. Holographic interferometry in AOI. (a) Reference interferogram generation and recording; (b) speckle interference test process
    Five basic holographic interferograms of the surface defect. (a) Bull's eye; (b) groove; (c) bend; (d) displacement; (e) compression
    Fig. 42. Five basic holographic interferograms of the surface defect. (a) Bull's eye; (b) groove; (c) bend; (d) displacement; (e) compression
    Digital holography scheme for large field of view
    Fig. 43. Digital holography scheme for large field of view
    Comparative digital holography. (a) Recording of a reference object hologram; (b) comparison of the measured object hologram with the reference object hologram
    Fig. 44. Comparative digital holography. (a) Recording of a reference object hologram; (b) comparison of the measured object hologram with the reference object hologram
    Schematic diagram of ESPI digital speckle interferometry system
    Fig. 45. Schematic diagram of ESPI digital speckle interferometry system
    Schematic diagram of shearing speckle interferometry system
    Fig. 46. Schematic diagram of shearing speckle interferometry system
    Shearing speckle interference system based on 4f optical system. (a)Principle of shearing speckle interference optical path based on 4f optical system; (b) traditional fringe pattern; (c) fringe pattern based on 4f optical system
    Fig. 47. Shearing speckle interference system based on 4f optical system. (a)Principle of shearing speckle interference optical path based on 4f optical system; (b) traditional fringe pattern; (c) fringe pattern based on 4f optical system
    Defect inspection of aeronautical composite materials. (a) Defect specimen of multilayer composite honeycomb plate; (b) shearographic phase diagram of honeycomb plate defect
    Fig. 48. Defect inspection of aeronautical composite materials. (a) Defect specimen of multilayer composite honeycomb plate; (b) shearographic phase diagram of honeycomb plate defect
    Image processing of defect detection
    Fig. 49. Image processing of defect detection
    Schematic diagram of frequency domain filtering process
    Fig. 50. Schematic diagram of frequency domain filtering process
    Inspecting the fiber defects on a TFT array surface. (a) TFT array image with a fiber defect; (b) image removed periodic background; (c) pixel grey of the 92th row in time domain; (d) reconstruction results of the 92th row pixels
    Fig. 51. Inspecting the fiber defects on a TFT array surface. (a) TFT array image with a fiber defect; (b) image removed periodic background; (c) pixel grey of the 92th row in time domain; (d) reconstruction results of the 92th row pixels
    TFT array singular value decomposition method. (a) TFT images with defects; (b) the first 10 singular values; (c) reconstructed image; (d) binary image
    Fig. 52. TFT array singular value decomposition method. (a) TFT images with defects; (b) the first 10 singular values; (c) reconstructed image; (d) binary image
    Schematic diagram of CNN network architecture
    Fig. 53. Schematic diagram of CNN network architecture
    Rongsheng Lu, Ang Wu, Tengda Zhang, Yonghong Wang. Review on Automated Optical (Visual) Inspection and Its Applications in Defect Detection[J]. Acta Optica Sinica, 2018, 38(8): 0815002
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