1. Hayley Gilson, Antony Sanchez, Cris Koutsougeras ET 493 Fall 2018
Intersection Control
Hayley Gilson, Antony Sanchez, Cris Koutsougeras
ET 493
Fall 2018

2. Goal of Project:
Develop Microcontroller-controlled intersection system that will use a camera and image processing software to determine traffic and use that to determine right-of-way.

3. Purpose of Traffic Lights
Assign right of way to lanes in an intersection
Assign
Decrease wait times at intersection
Decrease
Reduce accidents that happen in accidents
Reduce

4. Prior Designs for “Smart Intersections”
Lasers
Air-fused tubes
Uses a inductor loop buried in the concrete and connected to the lights.
Inductance and magnetic field increases in presence of iron
Increase in Inductance sets off the system
Induction loops

5. Why Use Camera-Controlled System?
Cheaper to build/install
Uses camera: won’t require the road to be torn up.
Smarter: Won’t just detect the presence of car, but also detect amount of traffic in lanes

6. Semester Goals: 1 2 3 Set up system using microcontrollers and cameras
Install OpenCV and Install onto system 2
Run program capable of basic image detection without input from outside party 3

7. Timeline September October November Meet with advisor
have an understanding on what needs to be done for the project
Conduct research on project
September
Research traffic lights and research OpenCV
Acquire equipment required for the project
Have OpenCV running on both microcontrollers
October
Set up the microcontrollers to perform simple image processing
Start testing the camera analyzation and detection for objects.
Continue research on failsafes and smart controls
November

8. Parts needed: Arduino Uno controller (already acquired)
Raspberry Pi controller
Two cameras: One compatible with Arduino, the other with Raspberry Pi
OpenCV software

9. Work Plan

10. Research Traffic Lights and the improvement of them Failsafes
How they work
How to improve them via camera usage
Main focus of research for the semester
Failsafes
It’s foolish to believe that things won’t go wrong with a system
What can be done to prevent catastrophe if the system malfunctions?
Smart Detection
The capability to anticipate what could happen
Not just reacting to current situation, but predicting what can happen as a result
Communication between intersections?

11. Construction Setting up system Using OpenCV
Two systems will be built: One with Arduino, one with Raspberry Pi
Functionally similar (Arduino will be somewhat simpler in terms of potential functions)
Must be able to run and constantly analyze images from a camera
Must function independently
Using OpenCV
Open-source image detection program
Compatible with Arduino and Raspberry Pi
Consists of multiple libraries

12. Construction Hayley Gilson: Railroad Intersection, Arduino
Antony Sanchez: 4-way Intersection, Raspberry Pi
Setup Arduino and camera and OpenCV
Research train intersection functionality
Use OpenCV on Arduino to do simple image processing
Setup Raspberry Pi with Raspberry Pi camera and OpenCV
Research traffic light algorithm
Use OpenCV on Raspberry Pi to do simple image processing

13. Thank You for Your Time
Feel Free to Ask Questions.