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Smart IoT based Approach for Accident Detection and Prevention

Publication Type : Conference Proceedings

Publisher : IEEE

Source : In 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), pp. 29-36. IEEE, 2023.

Url : https://ieeexplore.ieee.org/document/10425961

Campus : Bengaluru

School : School of Engineering

Department : Electrical and Electronics

Year : 2023

Abstract : With an exponential rise in population and growth in technology, most people now have access to the luxury of mobility. Road Traffic is increasing day by day and so are accidents. People neglect to take proper precautions and don’t follow rules. Also, most of the time these accidents do not get notified to the concerned authority during the golden hour when the victims’ lives can be saved. This leads to a rise in the road accidents causing more number of deaths. The main aim of this research study is to build a system to reduce the number of road accidents and deaths or injuries. The proposed IoT device will take care of factors like dizziness, and emotions of the driver, reduction in the speed of the car by automatic application of the brakes, and ensuring notifications are sent to nearby hospitals in a much faster manner even if accidents occur.

Cite this Research Publication : Chaganti, Pavan Chandra Vishal, Koppuravuri Sai Sukesh, and P. Surekha. "Smart IoT based Approach for Accident Detection and Prevention." In 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), pp. 29-36. IEEE, 2023.

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