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- W4280651984 abstract "Road accidents have become an issue of major concern to the people. This paper presents an accident prevention mechanism developed through alcohol detection using an MQ3 alcohol sensor followed by automatic engine locking. The detection part uses an SW-420 vibration sensor to detect any sort of abnormal vibrations that may occur from a collision. This is accompanied by supervised deep learning CNN algorithms. The accident scene image is captured using a front camera built in the vehicle to be used by the deep learning model for accident prediction. Accident detection is followed by communication to the nearest emergency center using GPS and GSM modules." @default.
- W4280651984 created "2022-05-22" @default.
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- W4280651984 date "2022-03-10" @default.
- W4280651984 modified "2023-09-25" @default.
- W4280651984 title "Vehicle Accident Detection and Prevention using IoT and Deep Learning" @default.
- W4280651984 doi "https://doi.org/10.1109/spices52834.2022.9774089" @default.
- W4280651984 hasPublicationYear "2022" @default.
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