Implementation of Black Box in Vehicles

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Authors: A. S. Vasiliev A. S., Karun V S, Maruti Shashank K P, Nandan Kumar E, Darshan K V
Cited by: 0

Abstract

Abstract: The rapid increase in road traffic accidents highlights the need for effective systems that can assist in accident analysis and improve road safety. This paper presents the de sign and implementation of a vehicular Black Box system, analogous to those used in aviation, to record critical data before and during accidents. The proposed system captures key parameters such as vehicle speed, engine status, GPS coordinates, acceleration, and braking patterns. Data is continuously logged and securely stored in non-volatile memory for post-accident analysis. The system integrates sensors with a microcontroller and employs GPS and GSM modules for real-time location tracking and communication with emergency services. The goal is to support forensic accident investigations, identify causes of crashes, and provide crucial evidence in legal or insurance cases. This research demonstrates the feasibility and benefits of incorporating affordable black box technology into everyday vehicles to enhance driver accountability and improve overall traffic safety. The Black box is designed to save million people deaths due to road accidents. The main purpose of our project is to design and develop a system of the “Black Box for vehicles” that can be installed into any vehicle. This system can be designed with information needed for better accident analysis. Essentially it monitors the cause of accidents, incident of accident and location of the accident. It records the data and provide an analysis as feedback to the driver and control room. This system also provides indications on the indicator panel in the vehicle.

Fields of Study & Subjects

IoT and GPS-based Vehicle Safety Systems Traffic and Road Safety Autonomous Vehicle Technology and Safety

Publication details

Journal / source
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Volume
10
Issue
01
Pages
1–9
Publication date
8 January 2026