Paper Title :IoT based Vehicle Accident Detection and Prevention
Author :K.Bhaskar, M.Bhavagjna, Md.Shaheed, M.Jaswanth, M.Mahendra Srinivas
Article Citation :K.Bhaskar ,M.Bhavagjna ,Md.Shaheed ,M.Jaswanth ,M.Mahendra Srinivas ,
(2023 ) " IoT based Vehicle Accident Detection and Prevention " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 69-72,
Volume-11,Issue-4
Abstract : The main ideal of this design is to help detect wearing helmets, drunk & drive and speeding, which frequently
lead to major accidents. The smart machine immobilizer system consists of alcohol detectors, MEMS detectors and Arduino,
wearing a seat belt will be obligatory for drivers. It's used to help the script of a drunk motorist by checking the
motorist's breath from the alcohol detector and stopping the vehicle if he's drunk or not wearing a helmet, and we descry
somnolence with the eye blink detector. MEMS detectors are installed in vehicles to descry accidents, whenever the vehicle
hits the ground, the MEMS detectors sound an alarm so an accident occurs. However, an alert communication will be
transferred on with the GPS position, If the rider faces an accident.
Keywords - Alcohol Sensor, MEMS Sensor, Arduino, Eye Blink Detector, GPS
Type : Research paper
Published : Volume-11,Issue-4
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-19649
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Copyright: © Institute of Research and Journals
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Published on 2023-07-10 |
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