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Haar Training Hand Gesture Recognition

Raytheon-sponsored Senior Capstone Project — IUPUI, Spring 2018

About

Python/OpenCV embedded system trained to recognize 5 hand gestures using Haar cascade classifiers, deployed on Raspberry Pi to control a servo-actuated lamp.

Key Technical Challenges Solved

  • 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

Technologies

  • Python
  • OpenCV
  • Raspberry Pi
  • Haar Cascade Classifiers
  • Servo Motor Control