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
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article

Embedded Smart Accident Prevention With LoRa Based Accident Detection and Emergency Response System

Journal of Emerging Technologies and Innovative Research
IoT and GPS-based Vehicle Safety Systems
article

Embedded Smart Accident Prevention With LoRa Based Accident Detection and Emergency Response System

article en

Abstract

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.

Journal of Emerging Technologies and Innovative ResearchVol. 13(3)
Good health and well-being
Openalex Percentile: Top 10%
IoT and GPS-based Vehicle Safety Systems
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Embedded Smart Accident Prevention With LoRa Based Accident Detection and Emergency Response System · Journal of Emerging Technologies and Innovative Research (2026) | TGRS Research Map | TGRS