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@article{154479,
        author = {Kunal Bhadane and Ashwini Patil and Devesh Vaidya and Sakshi Kale and Pratima Kadam},
        title = {Driver Drowsiness Detection System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {11},
        pages = {350-351},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154479},
        abstract = {Road accidents and various other form of accidents are common nowadays which causes deaths. According to the data received from WHO approximately 1.3 million people dies in road accidents every year. Not only in India but also in other countries the number of accidents is very high. Most of the time road accidents happens due to driver’s sleep. In this paper, a good intention to implement the driver drowsiness detection system which will help to reduce road accidents. This system is based on deep learning and with an accurate android application. We are tried here with lightweight structure of application which will get easy to handle to everyone.},
        keywords = {Driver Drowsiness detection system, Android, Application},
        month = {},
        }