• I.Hareesh
• Shaik. Nowshad
• V. Vandana
• T. Ajay
• U. Chaitanya

Drowsy driving is the leading cause of accidents worldwide. Due to lack of sleep and tiredness, many drivers are tired and drowsy, causing many car accidents. The best way to avoid traffic accidents caused by fatigue is to warn the driver early. There are many methods of detecting sleep. In this paper, we introduce a deep learning method to detect drowsy driving. We use a transfer learning method based on convolutional neural networks (MobileNet), which is a type of deep learning. We use an eye-region data set to predict sleep.

Drowsiness detection, Convolutional neural network, transfer learning, deep learning

"DRIVER DROWSINESS DETECTION AND RECOGNITION WITH FACIAL BEHAVIOUR USING OPEN CV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.c169-c173, May-2024, Available :http://www.jetir.org/papers/JETIR2405219.pdf

"DRIVER DROWSINESS DETECTION AND RECOGNITION WITH FACIAL BEHAVIOUR USING OPEN CV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppc169-c173, May-2024, Available at : http://www.jetir.org/papers/JETIR2405219.pdf