SentinelAI: Next-Gen Accident Detection and Emergency Notification System Integrating Autoencoders and Proximity Analytics
U. Karthikeyan, J. Relin Francis Raj, S. Gopikumar, A. Lakshmi Sangeetha, B. Priyanka, P. Alice Rani · 2024
SentinelAI introduces an advanced accident detection and emergency notification system, utilizing cutting-edge technologies for superior performance. By employing autoencoder-based anomaly detection algorithms, SentinelAI precisely identifies accidents through G-force data from the ADXL377 accelerometer sensor, ensuring rapid and accurate event recognition. The system incorporates proximity analytics using the Haversine formula to calculate real-time distances to nearby hospitals and police stations, facilitating swift emergency response. This proximity assessment optimizes dispatch and minimizes response times, crucial in critical situations. SentinelAI features a robust communication framework, integrating Wi-Fi and GSM modules for efficient information transmission. Upon detecting an accident, the proposed system immediately notifies the nearest emergency services and a predefined insurance company, providing essential location and event details for prompt action. Combining autoencoder-based anomaly detection, proximity analytics, and rapid notification capabilities, SentinelAI represents a significant advancement in accident detection and emergency response systems. By leveraging next-generation technologies, SentinelAI aims to enhance road safety and save lives globally.