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This Project based on Deep Learning(CNN), Computer Vision and Image Preprocessing detects the drowsiness of a vehicle driver driving on road at night. There are a lots of people who fell asleep while driving. This Program connected to the pre-build car camera always keeps a check on the driver’s eyes. Whenever the driver closes his/her eyes for prolonged period of 4-5 seconds, our program also connected with an alarm system plays the Alarm at loud volume, thus bringing the driver back to his consciousness.
- OpenCV(cv2)
- Numpy
- Keras
- OS
- Download the complete file in the zip format and extract it to your local machine.
- Also extract the eyes.rar file to same loaction.
- Run the Data Preprocessing file in your jupyter notebook(Make sure you installed all the required libraries).
- Run the Training Model file in your jupyter notebook.(It will take some time to build the CNN network and train upon it.)
- Finally run the Drowsiness Detection (webcam) in your jupyter notebook and allow your camera to take videos.
- Enjoy the Program.
.png "Not Drowsy")
.png "Drowsy")