Design and Implementation of Black-Box for Vehicle Safety
Year: 2025
Type: article
Abstract: The increasing rate of vehicle thefts and road accidents necessitates a smart, IoT-based vehicle black box system for real-time tracking and emergency response. This system integrates GSM, GPS, and embedded automation to detect crashes, send immediate alerts, and track vehicle locations. Using sensors, wireless communication, and cloud integration, it enhances accident response time while improving vehicle security. The system comprises Arduino Uno, GSM SIM900A, GPS NEO-6M, crash sensors, and an LCD display for real-time monitoring. Upon detecting an accident, the system records vehicle parameters, geo-location, and impact severity, sending alerts to emergency contacts and authorities. Additionally, anti-theft features detect unauthorized movement and notify the vehicle owner. The system achieves high accuracy in crash detection and real-time tracking, with a response time of 5 seconds. Future improvements will focus on AI-driven analytics, predictive accident detection, and cloud-based security enhancements.
Author: Aditya Fulzele, Likhit Akhade, Tanishq Kamble, Tushar Nimje, Mansi Zingre, 6Khushi Akare, Prof. Atul Malode
Institution: Priyadarshini College of Engineering
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949463532
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