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UDDSUI: An Unsafe Driving Detection System Using IoT

Publication Type : Conference Paper

Publisher : IEEE

Source : 2022 IEEE 19th India Council International Conference (INDICON)

Url : https://doi.org/10.1109/indicon56171.2022.10039814

Campus : Mysuru

School : School of Computing

Year : 2022

Abstract : People’s increased use of automobiles has resulted in terrible events such as traffic accidents, deaths, and financial losses. The main elements associated with the most mishaps are driver errors and human variables influenced by medical conditions, alcohol intake, reckless or dangerous driving etc. Driver fatigue is seen as another key factor in automobile accidents. The majority of vehicular accidents are caused by the driver’s actions. Data about the driver, the weather, and the vehicle may be used to determine unusual events on the road. In this paper, we offer a unique and effective method for preventing disasters caused by a driver’s actions. ’Unsafe Driving Detection System Using IoT’ (UDDSUI) is the name given to the proposed system. The UDDSUI system monitors the proximity of an adjacent car, alcohol intake and the exhaustion of the driver. It sends a warning message to the driver and stores the data in a cloud service via the Internet of things (IoT).

Cite this Research Publication : Tushaar T H, Shashank B, Tanvi K Jois, Adwitiya Mukhopadhyay, UDDSUI: An Unsafe Driving Detection System Using IoT, 2022 IEEE 19th India Council International Conference (INDICON), IEEE, 2022, https://doi.org/10.1109/indicon56171.2022.10039814

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