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SENIOR DESIGN PROJECTS Design Review

SENIOR DESIGN PROJECTS Design Review. Eye Tracking System Optimization Zachary Harvey Piyush Agarwal Robert Laiacona Lowren Lawson. Presentation Overview. Project Overview Zachary Harvey Typical Operation / Sensors Rob Laiacona System Overview Lowren Lawson

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SENIOR DESIGN PROJECTS Design Review

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  1. SENIOR DESIGN PROJECTSDesign Review Eye Tracking System Optimization Zachary Harvey Piyush Agarwal Robert Laiacona Lowren Lawson

  2. Presentation Overview • Project Overview • Zachary Harvey • Typical Operation / Sensors • Rob Laiacona • System Overview • Lowren Lawson • TI Divinci DM355 / Possible Problems • Piyush Agarwal • Prior Work / Power Requirements • Lowren Lawson • Multidisciplinary Components / Societal Impact / Power requirements • Zachary Harvey • Testing / System Integration/Alternatives/Costs • Rob Laiacona

  3. EXISTING SYSTEM PC53XS scene camera PC206XP eye camera IR LED http://www.cis.rit.edu/pelz/publications/ETRA04_babcock_pelz.pdf

  4. PROBLEMS WITH THE EXISTING SYSTEM • Video Synchronization • Video Cutout • Data Processing • New Eye Tracking Algorithm • Power Management • Monitoring • Too Bulky • Offline analysis restriction

  5. CUSTOMER WANTS • Basic Level • Synchronized 30 FPS video • LCD screen display • Four hour video storage • Simple Interface • 8 hours storage / battery • More Advanced Features • Control Wirelessly • Storage via H.264 • Video multiplexing

  6. Typical Operation • Subjects are taken outdoors / indoors in daylight • Operation in fair weather • Subjects are instructed to hike and climb

  7. Sensors • Cameras • CMOS • Analog NTSC encoded video stream • ~30 FPS to capture all eye movement PC53XS scene camera PC206XP eye camera IR LED

  8. Typical Data

  9. System Startup • Startup Self Test • Determine number of cameras • Determine battery power • Storage Space • LCD test • Enter standby mode • Wait for input

  10. User Interface

  11. HIGH LEVEL SYSTEM DESIGN

  12. Leopard Board • TI DM355 • MPEG4 Coprocessor • Arm GPP (270 MHz) • TI DM365 • MPEG4 / H.264

  13. Problems • Leopard Board interfacing • Processing Expense • Packaging

  14. Problems (Leopard Board Interface) • Digitizing two video streams • Breakout board needed • Getting drivers to work properly • Power consumption • Mitigation • Switching platforms to a more powerful SBC

  15. Problems (Processing Expense) • MPEG4 / H.264 video compression is computationally expensive • Hardware capable of processing is expensive • SBC solution ~500 - 1000$ • Mitigation • Leopard Board (~100$) • Limited to one stream / MPEG4

  16. Problems (Packaging) • System must be durable • Subjects are told to climb / hike outdoors • Connections must be secure • System must be low power • System runs off of 7.2V 4000 mAH battery • Heat dissipation • Mitigation • Locking connectors • Low power parts • Enclosure

  17. PRIOR WORK • Applied Science Laboratory EYE TRAC • Expensive • openEye Open Source • Poor recording capabilities • RIT Multidisciplinary Project • Poor software implementation • Windows XP + Lab View • More research needs to be done on what went wrong • NASA eye tracking device • Works specifically with their equipment • Not commercially available

  18. Power Requirements • User would like 4-8 hours of operation • Using 7.2 4000 mAH battery • Leopard board will last 4-5 hours

  19. Multidisciplinary Components • Electrical Engineering • Power consumption • Imaging Science • Computer Science • Packaging Science

  20. SOCIETAL IMPACT • Visual Perception Research • Commercial Advertising • Medical Research • Academic Strategies

  21. Testing Procedure • Video Stream Testing • Power Consumption Testing • Regression Testing • Interface testing

  22. System Integration • Initially VGA camera module will be used for input • Data will be recorded to SD card • Once Video can be acquired, the NTSC streams will be used

  23. Alternative Approaches • SBC • Easy but expensive • Reverse engineer existing video capture device • Fully Custom Platform

  24. COST ESTIMATES

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