Enhancing Vehicle Safety: Smart Accident Detection Using Vehicle Black Box Technology

Enhancing Vehicle Safety: Smart Accident Detection Using Vehicle  Black Box Technology

Ashwin L*1, Eshan Kumar Sao*2, Krishna Kiran Shetti*3, Pavan Jadhav*4, Dr. Anand Jatti*5

*1,2,3,4UG Student, *5Associate Professor, Department of Electronics and Instrumentation,

R. V. College of Engineering,

Bengaluru, Karnataka, India.

Abstract - This paper introduces a state-of-the-art vehicle black box system aimed at improving vehicle safety through intelligent accident detection and rapid emergency response. The system integrates an array of sensors and Internet of Things (IoT) technologies to monitor and record critical driving data, enabling real-time accident detection and immediate alert notifications. Key components of the system include accelerometers for impact detection, gyroscopes for assessing vehicle orientation, speed sensors for monitoring velocity, and environmental sensors such as cameras and proximity detectors. Driver condition monitoring tools, like breathalysers for measuring alcohol levels, are also incorporated. Data from these sensors is continuously processed in real-time using advanced algorithms designed to identify unusual conditions indicative of accidents. For instance, sudden deceleration combined with abrupt orientation changes can signal a collision. Upon detecting an accident, the system promptly sends alerts to emergency services through a GSM-based communication module. These alerts contain detailed information about the incident, including the vehicle's location, impact severity, and pre- accident sensor data, which is crucial for reducing emergency response times. A significant benefit of the vehicle black box system is its ability to provide valuable post-accident data for forensic analysis, helping to determine accident causes and improve future vehicle safety designs. This data aids manufacturers and policymakers in developing better safety regulations and technologies.