Riverside, Ca –
- Project Objective:
- Modified a quadcopter drone so that it is able to autonomously travel to the location of targets on the target range
- Used computer vision to score the hits on the target in real time
- Detected hits on the target with an accuracy of at least 70%
- Experimental Hardware and Software Setup:
- Autel X-Star Premium Drone
- Raspberry Pi Zero W
- Adafruit Ultimate GPS chip
- Wireless network router
- PC equipped with OpenCV, python, and PyQT
- Controller interface
- Arduino Uno
- Project Outcomes:
- Scored the targets with an accuracy of 80%
- Designed an interactive Graphical User Interface that features user input for target coordinates, the computer vision score results, fully functional text editor, and status of the drone
- Designed a scalable framework that is able to take data from sensors on the drone to send flight commands to the drone autonomously