1. SENIOR DESIGN PROJECTS Design 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
Multidisciplinary Components / Societal Impact / Power requirements
Testing / System Integration/Alternatives/Costs

3. EXISTING SYSTEM
PC53XS scene camera
PC206XP eye camera
IR LED

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 More Advanced Features
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 Enter standby mode Wait for input
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 ~ $
Mitigation
Leopard Board (~100$)
Limited to one stream / MPEG4

16. Problems (Packaging) System must be durable System must be low power
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 openEye Open Source
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 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 Item Item Cost Expected Cost Item Qt.
Eye-tracking Cameras, glasses, IR LED, and breakout box. (Headgear) $
$0.00 1
16 GB SD Card
$35.25 2
Camelbak Backpack
$62.50
Battery 7.4 V (4000 mAh)
$50.00
Power Distribution Block
$10.00
Microphone
Cables
LCD 6” Display
$160.00
Video Decoder IC
Audio Decoder IC
Leopard Board
$84.00 $
$289.25