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@article{155451,
        author = {CH SRIJA and Vidhi Balwda and Ravuri Vamshi Krishna  and Shekhar Shekapur Ts and Vinutha Prashanth},
        title = {Driver Drowsiness Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {824-827},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155451},
        abstract = {In recent years, driving has become an important part of our day-to-day life.  Due to busy life in urban areas people may feel drowsy while driving, due to that there is a chance of meeting with an accident. Road accidents are apparently one of the major hazards in our country. After the accidents caused by the drunk and drive, the next main issue to be addressed is drowsiness due to which it leads to severe physical injuries or damage to the asset and even loss of human life. We are addressing this by detecting the drowsiness of the driver and warning him. Eye aspect ratio (EAR) is used to detect the drowsiness of the driver.},
        keywords = {},
        month = {},
        }