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@article{155164,
        author = {V HANUMANTHA RAO and SYED FARZANA and G SIVA SAI and CH UDAY KRISHNA and A MOHAN CHAND RAJU},
        title = {DRIVER DROWSINESS DETECTION OBSERVANCE SYSTEM USING DATA SCIENCE  AND VISUAL BEHAVIOUR},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {29-34},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155164},
        abstract = {Data science and machine learning technologies were employed to predict a person's health and mood to deliver information that would improve road safety. It's an example of intelligence in action.  (AI) technique for teaching system to learn and get better without having to be explicitly programmed. A driver's health can be determined via bioindicators, driving behavior, and facial expressions. Through talk, recent researches on driver sleepiness detection and alarm systems. Other machine learning approaches, such as the adaptable algorithm and the HOR algorithm, are also covered. Here we able to predict the driver’s drowsiness state and give an alert for cause of road accidents.},
        keywords = {Data Science, Image processing Technology, Detection of drowsiness, Histogram, Object Gradients.},
        month = {},
        }