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@article{182987,
        author = {Roshith K and Dr. C K Smitha},
        title = {Vehicle Event Data Recorder and Driver Review System (VEDRAR) Using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {81-85},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182987},
        abstract = {This paper is based on a developed (as model) system, VEDRAR-Vehicle event data recorder and driver review system aims to introduce a device that acquires and stores various data depending on different driving parameters for a period of drive with the aid of various sensors. The sensors placed in a required area of the vehicle are used to acquire real time vehicle data, stored in a local database XAMP interfaced using Aurdino. All the real time data collected by VEDRAR during each drive is uploaded to cloud.  These data can be used in 3 ways 1) To classify the driver as excellent, good, moderate, bad and worse using machine learning algorithms which in turn used to provide review to the driver.  2) these data can be made use in case of an accident for the detection of its cause by Govt Authorities 3) used to see the status or the health of the various parts of the vehicle that whether the vehicle is safe for the ride or should go for the service.},
        keywords = {Sensors, Aurdino},
        month = {},
        }