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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM5450

Accident Prevention System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM5450

Volume:

4 |

8 |

Aug 2020

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

NV

Niranjan Vedpathak

RC

Rahul Chaudhari

PG

Pranit Gire

MM

Mayur More

JM

Jitendra Musale

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Abstract

The proposed Smart Car is an innovative autonomous vehicle designed to enhance road safety through intelligent obstacle detection and alcohol sensing mechanisms. The system integrates ultrasonic sensors for obstacle avoidance and an alcohol sensor for detecting driver intoxication. When alcohol is detected, the car automatically stops, preventing potential accidents. The vehicle operates autonomously using an Arduino Uno microcontroller that processes real-time sensor data to make navigation and safety decisions. Ultrasonic sensors continuously scan for obstacles and measure distance to enable safe maneuvering, while an alcohol sensor monitors the driver’s breath. The system also includes a temperature sensor for battery thermal monitoring; if overheating occurs, an automatic cooling mechanism activates to prevent thermal runaway. Additional modules such as a motor driver, LCD display, and buzzer ensure reliable control, feedback, and alerts. By combining driver condition monitoring and collision prevention in a single, low-cost system, this project offers a practical approach to improving vehicular safety, especially in autonomous and semi-autonomous environments. Top of Form

KEYWORDS

Smart Car Alcohol Detection Obstacle Avoidance Autonomous Vehicle Arduino Uno etc.

Cite This Article

Niranjan Vedpathak, Rahul Chaudhari, Pranit Gire, Mayur More, Jitendra Musale, "Accident Prevention System," International Journal of Scientific Research in Engineering and Management, vol. 4, no. 8, Aug 2020.

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Publication Date

10/15/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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