Raytheon-sponsored Senior Capstone Project — IUPUI, Spring 2018
Python/OpenCV embedded system trained to recognize 5 hand gestures using Haar cascade classifiers, deployed on Raspberry Pi to control a servo-actuated lamp.
- Corrected hand classifier overfitting to training data
- Debugged servo motor timing mismatches between vision processing and hardware control
- Resolved Raspberry Pi thermal throttling under continuous processing load
- Python
- OpenCV
- Raspberry Pi
- Haar Cascade Classifiers
- Servo Motor Control