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Computer vision - May 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
A real-time 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 behavior and alert triggering.
- Avoided publication links because the selected CV does not provide exact URLs.
What I learned
The project built early experience with practical computer vision workflows and real-time detection constraints.