3D Scanning: Case Studies in Scanning Humans to Create Customized Products

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    3D Scanning: Case Studies in Scanning Humans to Create Customized Products - Presentation Transcript

    1. Case Studies in Scanning Humans to Create Customized Products Thomas Tong, 3D3 Solutions
    2. Overview
      • 3D3 Solutions has created 3D scanners that scan humans to create customized products
      • Lessons learned for making 3D scanning usable by the general public
      • 3 different cases - Feet, Faces and Joints
    3. Goal
      • Best practices for 3D scanning technology to solve human measurement problems
      • Understand value proposition of moving 3d scanning from back-end systems
      • Discuss risks and pitfalls
      • Tackle production issues
    4. Key Issues 1
      • Scanning humans has different requirements than mechanical parts
      • Movement
      • 3D scanning working outside of controlled settings
      • Used by untrained and non-technical operators
      • Scanning speed and robustness
    5. Key Issues 2
      • The cost factor is challenging
        • Competition is traditional tools
        • better, faster, or cheaper
        • Digital solutions has different trade offs versus traditional tools
      • Overcoming social fears
    6. Methodology
      • Custom build 3D scanners for each particular application
      • Scanners prototyped and tested with end-users every step of the way
      • Adapt available technologies, mix and match old and new techniques
      • Modify the parameters of the problem
    7. Case Study 1 – Feet
      • Semi-custom to fully custom orthotics
      • Scanning feet
        • Plaster cast and foam replacement
      • Simple value proposition. Plaster and foam requires more time and physical handling costs
        • Digital scanning is simple, clean and fast
    8. Screen Shot
    9. Screen Shot
    10. Case Study 1 – Lessons Learned
      • Scans asked to be highly reduced
        • High data sets = more storage, processing, and transmission time
      • Less is more. The right measurements, not more measurements
      • Scans data are used to look up into a model library, additional data is not needed
      • Accuracy requirements are low. Ease of use requirements are high
      • Time is money. Faster is better
    11. Case Study 2 : Faces
      • Faces
        • Medical
          • Cosmetic surgery
          • Burn
        • Visual effects
          • Digital Avatars
          • 3D Models
    12. Screen Shot
    13. Case Study 2: Lessons Learned
      • There will be holes in a single scan
        • Solutions:
          • Automatic - hole filling
          • Use replacement parts (No ears? No problem)
          • More cameras or scanners
      • Glasses can be an issue
      • Hair in general does not scan that well
        • Even if data is captured, a polygon mesh represents hair poorly
        • In visual effects or games you would replace with a hair simulation
        • For manufacturing, mesh may be okay
    14. Case Study 2: Lessons Learned
      • White light and laser safety
            • Rated to be safe
            • People are very skeptical, especially athletes
      • Faces are the hardest thing to keep “still”
      • Different industries
        • Visual effects, artists want to do lots of editing, can deal with lots of polygons
        • For manufacturing, take the face or head scan and blend it in to a pre-existing model for less cleanup
    15. Case Study 3 – Joints
      • Bracing Products
        • Knees
        • Elbows
        • Ankles
      • Data acquisition from multiple directions
    16. Case Study 3 – Lessons Learned
      • A fast 360 may requires multiple cameras
        • Systems that sweep around the joint will work
        • While humans are not rigid, general shape remains unchanged
      • Automated alignment can be challenging
    17. Screen Shot
    18. End User Issues
      • People don’t know what to expect
      • There is significant reluctance and fear
        • People worry about being digitally “copied” especially women
        • Social fears to the 3D scanning like early photographers
      • Everyone moves all the time
        • Faster, higher cost, higher quality scanners
        • Support the persons (Wall, chairs)
        • Live with the noise
    19. Lessons Learned
      • Plan your scanner output to match required manufacturing input
      • Fully automated solutions are difficult, but worth the effort
      • Robustness is critical
      • 100% coverage near impossible
      • New methods will rarely be “cheaper” than old methods.
        • The ability to digitally measure, analyze and deliver data is valuable
    20. Easy Wins
      • 3D scanning is “cool”’
      • Value proposition is straight forward
        • Existing solution is error prone, slow, difficult, and requires shipping
        • Digital solution is fast, accurate and can be digitally delivered
      • Accuracy requirements are orders of magnitude lower than manufacturing
    21. Future Steps
      • Making simple and robust “1-click” scanning systems
      • Look for end to end value, not just 3D scanning
      • Develop digital measurement, analysis and information delivery platforms.
      • Get more correct measurements more easily at a lower cost
    22. Thank you! Thomas Tong, 3D3 Solutions Email: [email_address] Website: www.3d3solutions.com

    + 3D3 Solutions3D3 Solutions, 5 months ago

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