Paper Title
VEHICLE ACCIDENT DETECTION SYSTEM BY USING IOT AND GPS
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Abstract
Major traffic accidents are caused by drivers who are sleepy. The amount of sleepiness brought on by drunk driving is rising these days. The eye blink sensor detects the rate of blinking if the driver's eyes are deemed to be drowsy for longer than three seconds. The car slows down if it is discovered that the eyes are closed. Alcohol MQ3 sensor is used in our suggested system to detect alcohol in addition to tiredness. The vehicle slows down if the driver's breath contains any alcohol. The Arduino UNO is interfaced with these sensors. When the automobile detects alcohol, the LED flashes, and when it detects tiredness, the buzzer rings. The speed of the vehicle changes accordingly.
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How To Cite (APA)
Dr.R.S. Rao, G. Likitha, G. Maruthi Kumar, K. Praveen Kumar, & G. Yuva Radha Krishna (April-2024). VEHICLE ACCIDENT DETECTION SYSTEM BY USING IOT AND GPS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), c77-c82. https://ijnrd.org/papers/IJNRD2404241.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : c77-c82
Other Publication Details
Paper Reg. ID: IJNRD_217830
Published Paper Id: IJNRD2404241
Downloads: 000122035
Research Area: Electronics & Communication Engg.Â
Author Type: Indian Author
Country: Krishna, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404241.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404241
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