IoT-Based Car Black Box for Accident Analysis and Monitoring

International Journal of Emerging Research in Science, Engineering, and Management
Vol. 2, Issue 3, pp. 268-274, March 2026.

https://doi.org/10.58482/ijersem.v2i3.34

This work is licensed under a Creative Commons Attribution 4.0 International License.

IoT-Based Car Black Box for Accident Analysis and Monitoring

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T Prasad

I Swetha

S Babavali

R Sandhya

M Premkumar

B Premchand

Department of ECE, Siddartha Institute of Science and Technology, Puttur, India.

Abstract: This paper is about making a smart device for cars, called an IoT-based Car Black Box, to help understand accidents and watch the car’s condition in real time. It uses an Arduino Mega board to connect different sensors—these include: A MEMS sensor to detect accidents, an alcohol sensor to check if the driver drank alcohol, and temperature and pressure sensors to keep track of engine health. A potentiometer to monitor the car’s speed, an ultrasonic sensor to find obstacles, a GPS to find the car’s location, and a button for the driver to send an emergency alert. The information from the sensors is sent wirelessly to another unit using LoRa modules. The receiving end uses Arduino, GSM, and NodeMCU to send this data to an online platform (ThingSpeak), so owners or authorities can check it from anywhere. If there’s a problem, the voice module and speaker warn the driver right away. Compared to older black box systems that only save data inside the car (and can lose data if damaged), this system gives real-time information, finds more problems, and helps prevent accidents. It is reliable, fast, useful for safety, and can be used in cars, trucks, and fleet management.

Keywords: GPS GSM Monitoring, Sensor Integration, Driver Safety, Real-Time Data Logging, IoT-Based Black Box.

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This article is part of Volume 2, Issue 3 (March 2026)