Drowsiness detection based on Eye State and Yawn State using Open CV

Abstract: The drowsiness of a person driving a vehicle is the primary cause of accidents all over the world. Due to lack of sleep and tiredness, fatigue and drowsiness are common among many drivers, which often leads to road accidents. Alerting the driver ahead of time is the best way to avoid road accidents caused by drowsiness. There are numerous techniques to detect drowsiness. In this paper, we have put forward a deep learning-based approach to detect the drowsiness of the drivers. We have used convolutional neural networks, which is a class of deep learning. We used the Eye regions (open or closed) and mouth based regions (yawn or no yawn) based dataset to predict the drowsiness.

Keywords: Drowsiness detection, Eyes, Mouth, Convolutional neural network, deep learning.