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Computer visionMay 2020 - Aug 2021
Real Time Drowsiness Detection
OpenCV and Haar classifier monitoring project
A computer vision project that applied Haar classifiers to detect drowsiness in real time and trigger alerts.
Context
A computer vision project that applied Haar classifiers to detect drowsiness in real time and trigger alerts.
Problem
The system needed to detect signs of drowsiness in real time and produce a practical alert.
What I built
I contributed to a detection workflow using OpenCV and Haar classifiers with alert based monitoring.
Technical approach
- Implemented Haar classifier based detection using OpenCV.
- Focused on real time monitoring behaviour and alert triggering.
- Worked through the practical limits of a lightweight computer vision pipeline.
What I learned
The project built early experience with computer vision workflows and real time detection constraints.