Integrated adaptive driver alert system using IoT for road safety

This paper introduces an Integrated Adaptive Driver Warning System (IADAS) utilizing Internet of Things (IoT) technologies to enhance road safety in modern vehicles. By employing a multi-sensor approach, including cameras, accelerometers, heart rate monitors, and GPS modules, the unit continuously monitors the driver’s behavior and surrounding environment in real-time. Advanced algorithms process this data to assess the driver’s cognitive state, fatigue level, and potential distractions. The integration of cloud services enables data storage, analysis, and remote monitoring of drivers. Overall, the IADAS represents a proactive and adaptive safety framework, aiming to reduce accidents by providing timely and contextual alerts to drivers, thus contributing to a safer transportation ecosystem.