Enhanced Accident Detection System Using IOT

Accident detection systems play a pivotal role in ensuring prompt aid and response during critical occurrences. This study centers on devising an accident detection system through the utilization of the Tinkercad simulator. Specifically, the system harnesses the power of an Arduino Uno R3 microcontroller in conjunction with an array of sensors and components. The integrated framework encompasses diverse sensors, including a PIR sensor, TMP36 temperature sensor, gas sensor, tilt sensor, and RGB LED. Complementary actuators such as a piezo buzzer, positional micro servo, and red LED further enrich the system's functionality. This research showcases the design and realization of the accident detection system using the Tinkercad simulator, offering an economically viable and pragmatic means of identifying accidents and providing instantaneous aid. The modular architecture of the system ensures scalability and adaptability to meet specific requisites. The simulation outcomes underscore the efficacy and dependability of the proposed system in discerning accidents and expediting timely interventions.