Team New Perspective Problem Definition

Background
None of the video detection systems currently in use in traffic signal system operations provide continuous traffic detection and monitoring needed for several advanced traffic control applications. Continuous monitoring of vehicle’s speed, location, and acceleration in the trapezoidal field of view (FOV) of the camera is done at the image sensor level intelligently without requiring complicated digital post processing of video streams and the high communication bandwidth associated with it. The proposed trapezoid image sensor IC will also reduce the overall cost and complexity of the system while providing intelligent and continuous incoming traffic information. These will open doors for several dynamic traffic signal control applications reducing vehicle emissions and fuel consumption due to unnecessary stopping.

Problem Statement
Modern traffic places much higher demands on monitoring and control devices than in the past. An intelligent image sensor and corresponding control system that is designed specifically for extracting “only” the dynamic properties of incoming traffic and the vehicles with high resolution, high speed, and embedded intelligence on sensor level is needed.

Problem Specifications
Frame Rate FPGA – Spartan 3E Array Resolution – 640x480 (VGA) Data Rate (burst x3) Field of View: 500m
 * 100fps from camera chip to FPGA
 * 10fps data output to traffic controller
 * Entire frame: 30.72 MB/s (burst x3)
 * With Tripwires: 480MBx#Tripwiresx100fps

Goals and Deadlines

 * Oct. 15: Snapshot #1 - working OpenCV simulation
 * Oct. 18: Wikipage meeting
 * Oct. 22: Tapeout
 * Dec. 6: Snapshot #2 – (goal?)
 * Dec. 12: Portfolio, Wikipage, Logbook DUE