The project utilizes IoT technology to create a car black box system, enabling accident analysis and providing crucial data for accident reconstruction and driver safety improvement.
This project aims to develop an advanced car black box system leveraging Internet of Things (IoT) technology to enhance accident analysis and response. The system utilizes an Arduino Uno as the central controller, integrating various sensors and communication modules to provide real-time accident detection and data collection. The key components include a MEMS sensor for monitoring tilt angles, which helps in detecting the impact and orientation of the vehicle during an accident.Dallas temperature sensor for temperature, Alcohol sensor for alcohol detection , Potentiometer for speed variation. A GPS module is employed for precise location tracking, while a GSM module sends instant alerts to emergency contacts upon accident detection. Concurrently, the system uploads critical data to Thing Speak, a cloud-based platform, for comprehensive analysis and reconstruction of the incident. An LCD display provides real-time information to users, and a DC motor, controlled via a motor driver, is utilized to automate vehicle stopping when an accident is detected. This integrated approach aims to deliver immediate alerts, robust data collection, and enhanced safety features for better accident management and post-incident analysis.
Keywords: Arduino uno, GPS, GSM
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