All around the world there are many road accidents every hour, some are due to drink and driving, lack of sleep, lack of attention on the wheel and many more reasons, which can be risky for the passenger as well as people on roads. The most common situation is lack of sleep which can make the driver careless while driving, these things cannot be ignored. To avoid such situations driver drowsiness detection system is very efficient to detect drowsiness by calculating and judging the rate of driver’s eye blink rate and eyeballs size through camera and the program attached to it. Driver drowsiness detection system is based on CNN-machine learning algorithm which is implemented completely offline and can alert with the help of alarm if the driver is feeling drowsy.

Driver drowsiness detection, Convolutional neural network, Real-time monitoring, Machine learning