Real Time Safe Black Box System

This paper presents the design and implementation of a Real-Time Safe Black Box System (R-Safe) for enhancing vehicle safety and accident response. The system integrates multiple sensors with an ESP32 microcontroller to monitor critical parameters such as acceleration, temperature, alcohol presence, and environmental conditions. A GPS (Global Positioning System) module enables real-time location tracking, while sensor data is processed to detect abnormal events such as collisions, fire hazards, or driver impairment. Upon detection, the system generates immediate audio-visual alerts and transmits essential information, including location and event data, for rapid emergency response. Data is also stored locally for post-accident analysis. The prototype is implemented on a mobile platform to demonstrate real-time functionality under dynamic conditions. Experimental results show that the system effectively identifies hazardous situations and provides timely alerts, improving response time and safety awareness. The proposed system offers a low-cost, scalable solution for intelligent vehicle monitoring and can be extended with cloud integration and predictive analytics for enhanced performance.