Back to selected work
Computer vision · May 2020 - Aug 2021
Real-Time Drowsiness Detection
OpenCV monitoring with Haar classifiers and alerts.
An earlier project using OpenCV and Haar classifiers for real-time monitoring.
PythonOpenCVHaar classifiersComputer vision
The problem
Detect signs of drowsiness from a live camera feed and trigger a useful alert.
What I built
A real-time detection workflow with OpenCV, Haar classifiers and alert logic.
Technical approach
- Detect face and eye regions from the camera feed.
- Track the cues used by the alert logic.
- Test the limits of a lightweight real-time pipeline.
What I learned
The project gave me early experience with computer vision, live input and noisy detection conditions.