1. Dieter Laskowski Jesse Harvey Mark Cataldi

2. Outline  Overview  Analytical Components  Testing Strategy  Deliverables  Cost Estimates  Project Status

3. Overview  Drowsiness slows reaction time, decreases awareness, and impairs judgment, just like drugs or alcohol The driver was apparently drunk and fell asleep when he crashed into the cyclists. One rider was killed and 10 others injured in the incident. The truck driver was driving fast and he was sleepy; consequently, the truck hit a palm tree then it flipped. The day-care bus crashed into a bridge killing the driver and four of the six children aboard. The National Transportation Safety Board said the driver fell asleep.

4. Overview  One camera will monitor the drivers eyes  A second camera will monitor the roadway  If a situation arises the warning system will be activated, alerting the driver

5. Cameras  Product: Logitech QuickCam® Pro 9000  Retail Price: ~$100  Relevant Features: Premium autofocus: Images stay razor-sharp, even in close-ups. Ultra-wide field of view and intelligent face tracking: Keeps you right in the middle of the action.  Modifications: Infrared capabilities

6. Warning System  Piezo buzzer  Massage Pad

7. Warning System Controller  Alert devices are controlled using Freescale HCS12 development board.  Software receives alert commands via serial port on laptop and takes appropriate action: Piezo buzzer issued appropriate PWM signal. Massage pad activated using DC signal.  External switch attached to board is capable of inhibiting alert peripherals

8. Power System  Product: Sima STP-325  Retail Price: $30.62  Relevant Features: Low battery alarm Two short circuit protected AC outlets Mounting feet for easy and safe installation in any vehicle to vehicles 12v supply Cigarette lighter plug provided Alligator clips and cable for installation Automatic thermal protection indicator 325 Watts Continuous, 650 Watts Peak power

9. Machine Perception Toolbox  Supplies cross-platform libraries for real- time perception primitives, including face detection, eye detection, blink detection and color tracking.  Our Application: Wrapper around Machine Perception Toolbox (MPT) blink detection to determine if user is becoming drowsy or sleeping.

10. Lane Detection

12. Testing: MPT Blink Detection  Two team members will drive around together at different times throughout the day to determine how effective the blink detection is under different lighting conditions and real world situations. Approximate TimeTesting ConditionIR LEDS & Camera Filter SunriseLight directly on drivers face On Off SunriseLight directly behind the car, shining at camera On Off SunriseLight shining on side of face On Off 10:00 amGeneral observations On Off 12:00 pmGeneral observations On Off 2:00 pmGeneral observations On Off SunsetLight directly on drivers face On Off SunsetLight directly behind the car, shining at camera On Off SunsetLight shining on side of face On Off Night Determine how well blink detections works with ambient lighting compared to IR lighting On Off

13. Testing: Lane Detection  Two team members will drive around together at different times throughout the day to determine how effective the lane detection is under different lighting conditions and real world situations. Approximate TimeTesting Condition SunriseSun shining directly into camera 10:00 amGeneral observations 12:00 pmSun overhead, observe effects on road 2:00 pmGeneral observations SunsetSun shining directly into camera NightObserve effectiveness of headlamps with image processing SunriseTest image detection when raining under various lighting conditions 10:00 amTest image detection when raining under various lighting conditions 12:00 pmTest image detection when raining under various lighting conditions 2:00 pmTest image detection when raining under various lighting conditions SunsetTest image detection when raining under various lighting conditions NightTest image detection when raining under various lighting conditions

14. Testing: Warning System  During testing, the inputs will be forced to create a warning condition. When the control system detects this, the alarm system should respond promptly.  Each component will be individually checked to verify that it does in fact turn on when commanded.  The warning system will also be thoroughly tested after integration with MPT and Lane Detection  Peripheral inhibit switch will be tested to ensure that no alerts are issued when the switch is activated.

15. Testing: Power Systems  When all devices are completed, they will be installed into the car and connected to the power inverter.  The system will be tested with maximum strain on the cars power system

16. Deliverables:  Drowsy Driver Warning System set up inside of a cardboard mock car  LCD monitor set up outside of the car so the audience will be able to see the results of the Blink and Lane detection.  Car driver will simulate falling asleep to force a response from the warning system  The demonstration will wrap up with a question and answer session as well as an opportunity for volunteers to try out the system.

17. Cost Estimates ComponentQuantityRetail CostCost to StudentsRetailer Laptop with Windows XP and USB drivers 1$500Already Owned Dell.com HP.com Newegg.com USB Camera2$200$175 Newegg.com Walmart HCS12 Board1$270Free CE Department Freescale Massage Pad0, 1 if supporting$10-$15 TangShop.com Gadgeter.com MPT SoftwareN/A Free – Open Source FreeMplab.ucsd.edu LCD Monitor1$300Already OwnedNewegg.com Demonstration Rig1 Variable depending on materials TBD Power Inverter1$32 Amazon.com TheEpiCenter.com Total Cost: $1317 + Materials $222 + Materials

18. Project Status:  MPT investigated, primary points of interest outlined  Investigating additional department resources and materials  Initial testing with camera software complete  Lane detection algorithm implementation started

19. Questions?