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user is awake
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user is sleeping
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user is feeling Drowsy at day time
The Driver-Snoozing-System is a machine learning system designed to detect when a driver is falling asleep at the wheel and alerts the driver before an accident occurs. The system uses the shape_predictor_68_face_landmarks.dat file, which contains data about the location of 68 facial landmarks on a person's face, to analyze the driver's face and determine if they are exhibiting signs of drowsiness.
Welcome to Python IR Person Detection! This project aims to provide a simple and efficient solution for detecting people in infrared (IR) images using Python.
link to download the pretrained haarcascade files https://github.com/opencv/opencv/blob/4.x/data/haarcascades/haarcascade_frontalface_default.xml https://github.com/opencv/opencv/blob/4.x/data/haarcascades/haarcascade_eye.xml
link for video demo of model https://drive.google.com/file/d/1uKbR9qtVJtSmbWM1DUEL2kj4f6-t10-b/view?usp=sharing
Features detection of people in IR images, even under challenging lighting conditions Fast and efficient, thanks to the use of Python's built-in libraries and optimized algorithms Easy to use, with a simple API and clear documentation
