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人工智慧下的AOI變革浪潮:影像辨識技術的突破與新契機

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Albert Y. C. Chen, Ph.D., VP of R&D at Viscovery--Visual Search, Simply Smarter.
Invited speech at Automatic Optical Inspection Equipment Association (AOIEA) Annual Summit, Taiwan, 2017/06/15, "Deep Learning and Automatic Optical Inspection".
陳彥呈博士,Viscovery研發副總裁2017年6月15日於自動光學檢測設備聯盟 會員年會 專題演講「人工智慧下的AOI變革浪潮:影像辨識技術的突破與新契機」。

Veröffentlicht in: Technologie

人工智慧下的AOI變革浪潮:影像辨識技術的突破與新契機

  1. 1. AOI Albert Y. C. Chen, Ph.D. Vice President, R&D Viscovery
  2. 2. Albert Y. C. Chen, Ph.D. • 2017– Viscovery 2016–2017 Viscovery 2015–2015 Nervve Technologies 2013–2014 Tandent Vision Science 2011–2012 GE Global Research • Computer Science Computer Science Computer Science
  3. 3. • AI 2017/07/26 • CV ML 2016/07/21 • GPU 2017/06/27 • GMIC 2017/04 • AI Mix Taiwan 2017/03 • MIT 2017/01 • 2016/12
  4. 4. AOI • • •
  5. 5. AOI
  6. 6. Cognex AOI
  7. 7. Cognex AOI
  8. 8. • Final inspection cells • Robot guidance and checking orientation of components • Packaging Inspection • Medical vial inspection • Food pack checks • Verifying engineered components[5] • Wafer Dicing • Reading of Serial Numbers • Inspection of Saw Blades • Inspection of Ball Grid Arrays (BGAs) • Surface Inspection • Measuring of Spark Plugs • Molding Flash Detection • Inspection of Punched Sheets • 3D Plane Reconstruction with Stereo • Pose Verification of Resistors • Classification of Non- Woven Fabrics AOI • Automated Train Examiner (ATEx) Systems • Automatic PCB inspection • Wood quality inspection • Final inspection of sub-assemblies • Engine part inspection • Label inspection on products • Checking medical devices for defects
  9. 9. • • 25 • 8 6 • 6 8 • 6 6 • 1703 X. Gilbert / arXiv 2015
  10. 10. X. Gilbert / arXiv 2015
  11. 11. X. Gilbert / arXiv 2015
  12. 12. E. Protopapadakis et al. / ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume III-5, 2016
  13. 13. E. Protopapadakis et al. / ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume III-5, 2016
  14. 14. X T W Rogers et al. / SPIE Defense and Security 2017 (to appear)
  15. 15. X T W Rogers et al. / SPIE Defense and Security 2017 (to appear)
  16. 16. X T W Rogers et al. / SPIE Defense and Security 2017 (to appear)
  17. 17. x y Cartesiancoordinates r θ Polarcoordinates gure1.1:Exampleofdifferentrepresentations:supposewewantto tegoriesofdatabydrawingalinebetweentheminascatterplot.Inthep representsomedatausingCartesiancoordinates,andthetaskisimpossib theright,werepresentthedatawithpolarcoordinatesandthetaskbeco vewithaverticalline.FigureproducedincollaborationwithDavidW Onesolutiontothisproblemistousemachinelearningtodisco emappingfromrepresentationtooutputbutalsotherepresen hisapproachisknownasrepresentationlearning.Learnedrep tenresultinmuchbetterperformancethancanbeobtainedwithh presentations.TheyalsoallowAIsystemstorapidlyadapttonew nimalhumanintervention.Arepresentationlearningalgorithmc odsetoffeaturesforasimpletaskinminutes,oracomplextas onths.Manuallydesigningfeaturesforacomplextaskrequiresa mantimeandeffort;itcantakedecadesforanentirecommunityo Thequintessentialexampleofarepresentationlearningalgorith encoder.Anautoencoderisthecombinationofanencoderf nvertstheinputdataintoadifferentrepresentation,andadeco
  18. 18. • 28x28 • 1980 MNIST >1170 • •
  19. 19. AI (1970-1980, 1990-2000) •
  20. 20. ( )zσ+ ( )zσ+ ( )zσ+ ( )zσ+
  21. 21. 1970 • Convolutional Neural Network
  22. 22. 1970
  23. 23. 1970 Large Small 1x 2x …… Nx …… …… …… …… …… …… …… y1 y2 yM          
  24. 24. 1970 w1 w2 Clipping [Razvan Pascanu, ICML’13]
  25. 25. 1970 • Mini-batch • Adaptive Learning Rate • Dropout, Batch- normalization minibatchminibatch 1 epoch
  26. 26. 1970
  27. 27. ( ) •
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  30. 30. • • • • •
  31. 31. D Weimer et al. 2017
  32. 32. X Funding Li et al. / IEEE Tran Automation Science and Engineer 2017 (to appear)
  33. 33. Johannes Günther et al. / Procedia Technology 15 (2014) 474 – 483
  34. 34. Johannes Günther et al. / Procedia Technology 15 (2014) 474 – 483
  35. 35. S. N. Lim et al. / GE Global Research
  36. 36. S. N. Lim et al. / GE Global Research
  37. 37. S. N. Lim et al. / GE Global Research
  38. 38. AI • • •
  39. 39. AI Viscovery Optical Character Recognition Offline Recognition2010 2013 2014 Product Recognition 2015 Video Content related Advertisements 2017 Wearable Devices Video Content Discovery & Interaction 2016
  40. 40. AI Viscovery • 2014 800
  41. 41. AI Viscovery •
  42. 42. AI Viscovery •
  43. 43. Thank You! albert@viscovery.com http://slideshare.net/albertycchen

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