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Emerce eDay - 3(r)D Revolution: Advances in Computer Vision and Artificial Intelligence - Sezer karaoglu

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Emerce eDay - 3(r)D Revolution: Advances in Computer Vision and Artificial Intelligence - Sezer karaoglu

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Emerce eDay - 3(r)D Revolution: Advances in Computer Vision and Artificial Intelligence - Sezer karaoglu

  1. 1. 1October 2016 3(r)D Revolution: Advances in Computer Vision and Artificial Intelligence Sezer Karaoglu, Co-Founder & CTO 3DUniversum
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  3. 3. 3 “As soon as it works, no one calls it AI anymore.” John McCarthy
  4. 4. 4 AI has succeeded everything that requires ‘thinking’ Simple is complicated! Still suffers most of what people and animals do ‘without thinking’
  5. 5. 5 Are robots going to fall in love with us! • AI  is  good  at  actions  require  thinking • Love  does  not  require  thinking • AI  fails  about  love!
  6. 6. 6 Todays Focus! We want to teach machines how to see! So they can help us to see better!
  7. 7. 7 Why it is so difficult for machines to see as we see?
  8. 8. 8 We  do  not  see  with  our  eyes,  we  do  see  with  our  brains! Reverse Engineering the Human Visual System! When you cannot beat it, simulate it!
  9. 9. 9 DEEP  LEARNING
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  11. 11. 11 Data  Never  Sleeps! Big Data, Processing Power and Smart Algorithms are the key! Nvidia GTX  Titan  X
  12. 12. 12 Big Data, Processing Power and Smart Algorithms are the key! Kids  can  learn  numbers  3  to  5  years With  CPU  computer  can  learn  in  6  days With  GPU  computer  can  learn  in  2 hours
  13. 13. 13 Is that it! Human
  14. 14. 14 3D Revolution
  15. 15. 15 Size Year Depth  sensors  are  integrated in  mobile  devices! 3D Revolution 2010 2014 2015-­‐2016
  16. 16. 16 We experience the world in 3D! Introduction What  can  you  tell  about  these  two  images?
  17. 17. 3DU has developed unique technology to change this Introduction Person Object Space Software “Real” world Precise measurements: 3D Model Inter- action Recognition (segmentation) Insertion (furniture, glasses, helmets, clothing) Editing (relighting, replacement) Competence 3DU: application of high tech Artificial Intelligence and Deep Learning Output (webshop,optician,etc) Scanningequipment 17
  18. 18. 3DU has a scalable product and a multi-vertical approach Markets 3DU Eyewear Healthcare Real Estate Home Deco Fashion Initial focus markets Scanning of heads / faces for optimal eyewear placement and digital fitting Scanning and segmentation of wounds and limbs for homecare and orthopedics Scanning of rooms and houses for 3D viewing Scanning of rooms and houses for interaction (redecoration) Scanning of body parts for optimal fit and digital fitting rooms 1 2 3 4 5 Measurements Interaction 3D Preview ü ü ü ü ü ü ü ü ü ü ü ü ü ü ü 18
  19. 19. 19 Eyewear & Fashion : Exact measurements for optimal fit and tailoring, while being able to preview! Markets Scan Faces and Bodies Virtual fitting, recommendation and tailoring
  20. 20. 20 Real Estate & Home Deco : Digital visits and ‘try furnitures’ at finger tips! Markets Scan Rooms - Houses Virtual Tours, Measurements and Refurnishing
  21. 21. 21 Healthcare : Enable well-informed medical decisions without the need to visit a doctor or a hospital! Markets Scan Wounds Detection of Wounds Wound Analysis Area  :  9.86  cm^2 Volume  :  2.90  cm^3
  22. 22. Management & Team About 3DUniversum Prof. dr. Theo Gevers,CEO § 25 years of experience in Image Processing,Computer Vision,Machine Learning and Artificial Intelligence § Co-founder 3DUniversum,Sightcorp,VTS Sezer Karaoglu PhD., CTO § 10 years of experience in Image Processing,Computer Vision,Machine Learning and Artificial Intelligence § Co-founder 3DUniversum Management / Founders Supported by a world class international talent pool Seed Investors § In 2015, 3DU raised financing to fund the technological developmentand commercial start § Currentinvestors are NextStage Early Stage Fund & Emendo Capital § 3DU attracted governmentfunding from RVO 22 Employees Function Background Morris Franken (0.8 FTE) Technical Programmer Android Apps MSc. AI Daniel Hallin (0.9 FTE) Technical Programmer iOS Apps MSc. AI Yang Liu (1.0 FTE) Technical development/ R&D PhD.AI / CV Finde Xumara (1.0 FTE) Technical development/ R&D MSc. AI & CV Interns Focused area Intern until Nick de Wolf Object recognition,deep learning (R&D) Aug 2016 Minh Ngo Deep learning pipeline (R&D) Feb 2017 Elena Pnomareva App development (healthcare) Feb 2017 Partha Das Visualisation (R&D) Feb 2017 Ray Ormesher Facial features (eyewear) Jan 2017 Pipeline of 4 MSc. studentsAI + 2 bus. dev.
  23. 23. 23 Live demo

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