DROWSY DRIVER WARNING SYSTEM

Dieter Laskowski

Jesse Harvey

Mark Cataldi

Outline

Overview Analytical Components Testing Strategy Deliverables Cost Estimates Project Status

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.

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

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

Warning System

Piezo buzzer Massage Pad

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

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

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.

Lane Detection

ControlSystem

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 Time Testing Condition IR LEDS & Camera Filter

Sunrise Light directly on drivers faceOnOff

Sunrise Light directly behind the car, shining at cameraOnOff

Sunrise Light shining on side of faceOnOff

10:00 am General observationsOnOff

12:00 pm General observationsOnOff

2:00 pm General observationsOnOff

Sunset Light directly on drivers faceOnOff

Sunset Light directly behind the car, shining at cameraOnOff

Sunset Light shining on side of faceOnOff

NightDetermine how well blink detections works with ambient lighting compared to IR lighting

OnOff

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 Time Testing Condition

Sunrise Sun shining directly into camera

10:00 am General observations

12:00 pm Sun overhead, observe effects on road

2:00 pm General observations

Sunset Sun shining directly into camera

Night Observe effectiveness of headlamps with image processing

Sunrise Test image detection when raining under various lighting conditions

10:00 am Test image detection when raining under various lighting conditions

12:00 pm Test image detection when raining under various lighting conditions

2:00 pm Test image detection when raining under various lighting conditions

Sunset Test image detection when raining under various lighting conditions

Night Test image detection when raining under various lighting conditions

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.

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

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.

Cost EstimatesComponent Quantity Retail Cost Cost to Students Retailer

Laptop with Windows XP and USB drivers

1 $500 Already OwnedDell.comHP.com

Newegg.com

USB Camera 2 $200 $175Newegg.com

Walmart

HCS12 Board 1 $270 FreeCE Department

Freescale

Massage Pad 0, 1 if supporting $10-$15 $10-$15TangShop.comGadgeter.com

MPT Software N/AFree – Open

SourceFree Mplab.ucsd.edu

LCD Monitor 1 $300 Already Owned Newegg.com

Demonstration Rig 1Variable

depending on materials

Variable depending on materials

TBD

Power Inverter 1 $32 $32Amazon.com

TheEpiCenter.com

Total Cost:$1317 + Materials

$222 + Materials

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

Questions?