Embedded Smart Accident Prevention With LoRa Based Accident Detection and Emergency Response System
This paper presents an embedded smart accident prevention and detection system designed to enhance road safety through real-time monitoring and communication. The proposed system integrates multiple sensors with an Arduino-based controller to continuously observe driver behavior and vehicle conditions. A tilt sensor (MPU6050) and vibration sensor are used to detect abnormal motion and collision events, while an eye-blink sensor and heart rate sensor monitor driver alertness and health status. A magnetic sensor ensures seat belt usage. The collected data is processed and displayed on an LCD, while long-range communication is achieved using LoRa technology. In emergency situations, the system automatically activates a buzzer alert and transmits the vehicle’s location and status using GPS and GSM modules. A manual push-button is also provided for user-triggered alerts. The prototype demonstrates a cost-effective, reliable, and real-time solution that combines accident prevention, detection, and emergency response, making it suitable for modern intelligent transportation systems.
Publication Details
- Journal
- Journal of Emerging Technologies and Innovative Research
- Published
- 2026-01-01
- DOI
- https://doi.org/10.56975/jetir.v13i3.577692
- Primary Topic
- IoT and GPS-based Vehicle Safety Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00