Emergency Vehicle Detector for Use in Consumer’s Motor Vehicle Georgia Institute of Technology School of Electrical and Computer Engineering ECE 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, 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 Approaching Moving Away Input Audio Give All-Clear Car Radio

Siren Sounds

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