What question did this study set out to answer?

To design and implement a system that monitors driver fatigue and automates emergency responses to enhance road safety.

April 19, 2026Open Access

An Intelligent Embedded System for Driver Fatigue Monitoring and Automated Emergency Response with Vehicle Intervention.

KRK.MOHANA RAVALIAcharya Nagarjuna University PT PEESA TEJAAcharya Nagarjuna University MBMr T. RAVICHANDRA BABUAcharya Nagarjuna University

Key Points

To design and implement a system that monitors driver fatigue and automates emergency responses to enhance road safety.
Developed an embedded system using an ESP32-CAM module for monitoring driver's facial features.
Analyzed eye closure patterns to detect signs of drowsiness.
Issued alerts via a buzzer upon detecting fatigue and dispatched emergency notifications through a GSM module.
Used a GPS module for real-time location tracking and ultrasonic sensors for obstacle detection.
Successfully detected driver fatigue with reliable accuracy across various driving conditions.
Automated emergency alerts were triggered effectively when drivers did not respond to initial warnings.
The integration of systems enabled safe vehicle deceleration in hazardous situations.

Abstract

Driver fatigue is a significant factor contributing to road accidents globally, particularly during extended journeys and overnight travel. This paper details the design and implementation of an intelligent embedded system engineered for real-time driver fatigue monitoring and automated emergency response. The system employs an ESP32-CAM module to continuously observe the driver's facial features, detecting drowsiness through analysis of eye closure patterns. Upon identification of fatigue, an immediate alert is issued via a buzzer. Should the driver not respond, the system escalates by dispatching emergency notifications through a GSM module and transmitting real-time location data via a GPS module. Furthermore, ultrasonic sensors are incorporated to identify nearby obstacles, aiding in controlled vehicle deceleration to achieve a safe stop. The amalgamation of computer vision, embedded systems, and IoT technologies offers an economical and effective solution for improving road safety. Empirical findings confirm reliable system performance across diverse conditions.

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