Emergency Vehicle Detector for Use in Consumer’s Motor

Vehicle

Georgia Institute of TechnologySchool of Electrical and Computer EngineeringECE 4007

Ehren Bendler, Jose Crespo, Tyler Evans, Richard Yee

October 21, 2008

Project Overview

EMV Detector will warn motorist of approaching EMV

EMVs are involved in thousands of accidents per year that are preventable with proper warning

EMV Detector can be used by any motorist Total estimated cost of project is $51,406.25

including labor and equipment

Design Objectives

Capture audio from outside of vehicle Process signal to determine if EMV is

approaching Detect siren 5dB over ambient noise Refresh every 2 seconds or less Use audio and visual (LED) warnings Fit in dashboard of any vehicle

EMV Detector

Design Flow

Doppler Shift? Shut Off Radio

Output Warnings

Turn On Radio

Siren?

No

Yes

ApproachingMoving Away

Input Audio

Give All-Clear

Car Radio

Siren SoundsWail (725-1600 Hz, 12 CPM)

time (sec)

fre

qu

en

cy (

Hz)

0.5 1 1.5 2 2.5 3 3.5 4 4.5 50

500

1000

1500

2000Yelp (500-3000 Hz, 180 CPM)

time (sec)

fre

qu

en

cy (

Hz)

0.5 1 1.5 2 2.5 30

500

1000

1500

2000

2500

3000

Piercer (725-1600 Hz, 800 CPM)

time (sec)

fre

qu

en

cy (

Hz)

0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.20

500

1000

1500

2000Hi-Lo (550-650 Hz, 60 CPM)

time (sec)

fre

qu

en

cy (

Hz)

0.5 1 1.5 2 2.5 3 3.5 4 4.5 50

200

400

600

800

1000

Detection Algorithm

Implement in MATLAB Perform FFT on audio input Look for presence of siren frequencies above

ambient noise level Use Doppler shift to determine direction

– Higher frequency means approaching– Lower frequency means moving away

System Diagram

Computer Specifications

Motherboard: Intel D945GCLF2– 4 USB 2.0 ports– Integrated VGA output– Realtek ALC662 HD Audio

Processor: Embedded Intel Atom 330– 2 cores at 1.60GHz

Memory: 2GB DDR2-667

LED Controller

Cypress CY8CLED04– USB Interface– Analog and Digital I/O– PSoC Architecture– 512 Registers

Design Analysis

Advantages– Client-side only

product– Software can be

modified to enhance product in the future

– Inexpensive

Disadvantages– Cannot determine

distance and location of EMVs

– Cannot distinguish between different EMV types

Demonstration Plan

Demonstrate project in a laboratory setting Use a SPL meter to determine the loudness

of microphone input Subject system to standard siren sounds at

varying levels of loudness to determine minimum functionality level

Subject system to Doppler shifted sirens and ambient road noise

Problems

Turning off stereo Delayed parts acquisition Distinguishing between different EMVs

Project Schedule

Finish hardware and software: 10/31 Write final project summary: 11/24 Prepare demo: 11/24 Write final project report and finalize website:

12/1

Current Status

Software correctly detects the wail type siren Hardware is assembled and Windows XP

operating system installed Algorithms are being developed to detect

other types of sirens