Article
REAL TIME ACCIDENT DETECTION AND REPORTING USING IOT
Road accidents are a major global concern, leading to significant loss of life, property damage, and delayed emergency response. Traditional accident detection methods often rely on eyewitness reporting, which results in time delays that can worsen casualties. To address this challenge, this paper proposes a Real-Time Accident Detection and Reporting System using Internet of Things (IoT). The system integrates smart sensors such as accelerometers, gyroscopes, GPS, and vibration sensors with a microcontroller to detect sudden impacts, abnormal vehicle motion, or rollovers that indicate an accident. Once an accident is detected, the system automatically collects critical information including location coordinates, speed, and impact force, and transmits it to a cloud server through a wireless communication module (e.g., GSM/4G, LoRa, or Wi-Fi). This data is then instantly relayed to emergency services, nearby hospitals, and registered contacts, ensuring rapid response.The proposed IoTenabled framework eliminates human dependency in accident reporting, reducing the time gap between accident occurrence and medical assistance. Additionally, the system can be integrated with traffic management systems for enhanced road safety and real-time monitoring. By leveraging IoT, cloud computing, and intelligent communication, this solution aims to minimize fatalities, improve emergency response times, and enhance overall road safety.
Full Text Attachment
