FBN.2024.13
Intelligent Driver Monitoring
Computer vision engineer, sole build
OpenCV, Python, Dlib, Machine Learning, 2024
Live
facial analysis in real time
Dlib
landmarks for eye state
Alert
the instant fatigue registers
The problem
Driver fatigue kills, and it is detectable well before it does.
The approach
A real-time system in OpenCV, Python and Dlib that reads facial landmarks to detect drowsiness and raises an alert the instant it appears.
The outcome
A road-safety system that catches drowsiness as it happens.
What it does
3 capabilitiesLandmarks, continuously
Dlib maps the face frame by frame to read eye closure and fatigue.
A blink is not a nod
Rules over facial dynamics tell ordinary blinking from the onset of sleep.
Alerts without delay
The moment fatigue registers, the driver hears about it. That is the whole point.
Next exhibit —
Voice-Controlled Home Automation