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@article{165217,
        author = {Mohd Muntaquim and Mohammad Imran and Mohd Rizwan },
        title = {Driver Drowsiness Detecton},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {11},
        number = {1},
        pages = {737-739},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=165217},
        abstract = {Driver drowsiness detection is a vehicle safety technology designed to reduce accidents caused by fatigued drivers.  According to WHO in India found that 28% of driver had an at least met one accident of drowsiness and about to 5% of driver had an accident or near miss due to sleepiness. Studies suggest that fatigue is a factor in up to 20% of all road accidents, and even higher on certain roads. These systems use various methods to monitor the driver's state and provide alerts when drowsiness is detected. Common approaches include monitoring facial features with cameras to detect closed eyes or yawning to identify changes that indicate reduced alertness, or a combination of these techniques. If the system detects a drowsy driver, it will typically raise an alarm and advise the driver to take a break. 

},
        keywords = {},
        month = {},
        }