Crash and DUI Evidence Collector using Arduino Mega 2560

Crash and DUI Evidence Collector using Arduino Mega 2560

Mr.Purushottam Chawke
(Assistant Professor ETC Department)
Authors: Rohan Mankar, Yash Kale, Rohit Singrol, Pranay Wakode,, Yash Khaddadkar

Department of Electronics and Telecommunication, GHRCEM Nagpur.

Abstract— Crash and DUI evidence collector presents an advanced vehicle safety system designed to detect potential accidents and hazardous driving conditions, using a combination of sensor technologies and real-time alert mechanisms. By integrating temperature, vibration, alcohol, and gyroscopic sensors with a GPS and GSM module, this system captures data on vehicle status, driver condition, and environmental factors that may lead to an accident. The gathered information is processed to generate immediate SMS alerts to designated contacts, improving response time and enhancing overall safety. Additionally, the system records data for later analysis, supporting crash reconstruction and identifying preventive measures. The project aims to reduce accident rates and improve driver safety with the use of IoT, data analytics, and mobile communication.

Keywords-Vehicle safety, accident detection, sensor technology, real-time alerts, GPS, GSM module