Computer Vision: Quadcopter
Additional Information
The goal of this project was to build a drone that could autonomously hold its position using computer vision. An onboard Raspberry Pi used an IR sensor to determine its height and a downward-facing camera to determine its location on the table using feature matching.
During this project, I learned the very basics of computer vision including edge detection, Gaussian filtering, and feature matching. Using the Open CV library with Python, I was able to create algorithms for computer vision to accomplish different tasks.
For the construction of the drone, I was provided with all the parts (flight controller, Raspberry Pi, ESC's, motors, etc.) and I assembled it based on given directions. I soldered all of the electronics myself and I was the first student in the class to have a flying quadcopter.
Below, there are additional images of the construction as well as videos of the drone in flight.
