Python project on driver drowsiness detection system. Uses OpenCV and keras to detect drowsiness by analyzing eyes of user. Custom model has been trained on dataset of open and closed eyes of humans.

The proposed algorithm leverages deep learning (DL) models, including InceptionV3, VGG16, and MobileNetV2, for real-time detection and classification of driver drowsiness. The models were trained and ...

In this preface, A passive brain-computer interface (pBCI) scheme using multichannel electroencephalography (EEG) brain signals is developed for spatially localized and accurate detection of human ...

A real-time Driver Fatigue Monitoring System using Python, OpenCV, and MediaPipe. It detects drowsiness and distraction through eye and head movement analysis. Alerts are triggered via sound/vibration ...

Emotion recognition and drowsiness detection using Python Human emotions are natural expressions that people tend to make naturally, instead of any conscious effort that is accompanied by the ...