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. 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

4. Methodology

5. Methodology 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

6. Methodology 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
Use OpenCV on Raspberry Pi to do simple image processing

7. Results

8. Raspberry Pi Results Hardware: Successful Software: Successful
Camera: Functional
Raspberry Pi: Functional
Raspberry Pi and camera work together completely.
Running the basic raspistill command allows for the Pi to use the camera and take a picture then save it to the SD card.
Python: Successful
Script takes a picture of whatever the camera is looking at
Uses the contours of the shapes in the picture to distinguish the middle of the shapes in the picture
It can do so using the OpenCV software installed on to the Raspberry Pi since it imports the libraries in the Python script and then makes use of them in the code
Basic image processing is achieved

9. Raspberry Pi Image Processing
Image to be image processed
Basic image processing on image upload directly to Raspberry Pi
Basic image processing on an image taken by Raspberry Pi camera

10. Arduino System Results
Hardware: Unsuccessful
Software: Successful So far
Arduino Yun: Functional
Camera: ???
Wiring gives way
Image often scrambled
Will need more work next semester
VC0706: Functional
Needed to be set up in compatibility mode first
Visual Studio 2017: Functional
C++ support installed
OpenCV libraries added successfully
Program to detect shapes and centroids set up

11. Results from Visual Studio 2017

12. Thank You for Your Time
Any Questions?