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driver-drowsiness-detection-system-4 icon driver-drowsiness-detection-system-4

This is a Python code for drowsiness detection system using Haar Cascades. Here we have used the OpenCV library to monitor the real-time video of the driver and to detect the face and the eyes of the driver.

driver-drowsiness-detection-with-alarm-system icon driver-drowsiness-detection-with-alarm-system

Nowadays, more and more professions require long-term concentration. Drivers must keep a close eye on the road, so they can react to sudden events immediately. Driver fatigue often becomes a direct cause of many traffic accidents. Therefore, there is a need to develop the systems that will detect and notify a driver of her/him bad psychophysical condition, which could significantly reduce the number of fatigue-related car accidents. However, the development of such systems encounters many difficulties related to fast and proper recognition of a driver’s fatigue symptoms. One of the technical possibilities to implement driver drowsiness detection systems is to use the vision-based approach. Here we are detecting the driver drowsiness by estimating the vision system of him.

driveralert icon driveralert

Real time drowsiness detector build using OpenCV and Dlib libraries. If the driver's eyes are closed for a long period , the program will alert the user by playing an alarm sound.

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