IoT-enabled Drowsiness Driver Safety Alert System with Real-Time Monitoring Using Integrated Sensors Technology

TL;DR

This paper presents an IoT-enabled driver safety system that uses integrated sensors to detect alcohol impairment and drowsiness, providing real-time alerts and vehicle control to prevent accidents.

Contribution

The paper introduces a novel IoT-based system combining alcohol and IR sensors for real-time detection and automatic response to driver impairment and drowsiness.

Findings

Effective detection of alcohol presence and drowsiness.

Automatic vehicle control in response to driver impairment.

Real-time monitoring via mobile alerts.

Abstract

Significant losses in terms of life and property occur from road traffic accidents, which are often caused by drunk and drowsy drivers. Reducing accidents requires effective detection of alcohol impairment and drowsiness as well as real-time driver monitoring. This paper aims to create an Internet of Things (IoT)--enabled Drowsiness Driver Safety Alert System with Real-Time Monitoring Using Integrated Sensors Technology. The system features an alcohol sensor and an IR sensor for detecting alcohol presence and monitoring driver eye movements, respectively. Upon detecting alcohol, alarms and warning lights are activated, the vehicle speed is progressively reduced, and the motor stops within ten to fifteen seconds if the alcohol presence persists. The IR sensor monitors prolonged eye closure, triggering alerts, or automatic vehicle stoppage to prevent accidents caused by drowsiness. Data from the IR sensor is transmitted to a mobile phone via Bluetooth for real-time monitoring and alerts. By identifying driver alcoholism and drowsiness, this system seeks to reduce accidents and save lives by providing safer transportation.