GPS based IoT Module for Vehicle Safety in Epileptic Seizure Detection and Alcohol Monitoring

This research presents a comprehensive Internet of Things-enabled safety system designed for individuals with epilepsy. The system integrates epileptic seizure detection, alcohol monitoring, and vehicle engine control mechanisms to enhance the overall safety of individuals prone to seizures. Utilizing MQ3 and EEG sensors, the system continuously monitors physiological indicators to detect and analyse epileptic events. Additionally, an alcohol detection module ensures that individuals under the influence are identified. The incorporation of GPS technology enables real-time location tracking, crucial for prompt intervention during seizures. The system’s IoT architecture facilitates seamless communication with cloud platforms, allowing for data storage, analysis, and remote monitoring. Furthermore, in instances of detected alcohol consumption, the system employs relay control to prevent engine start up, minimizing the risk of impaired driving. This integrated solution aims to provide a robust safety net for individuals with epilepsy, promoting independence while prioritizing their well-being in various scenarios.