A Smart IoT Powered Driver Fatigue Monitoring and Safety Alert System
In today's transportation environment, identifying driver fatigue is essential to improving road safety. A camera is used to scan video frames, a real-time monitoring system analyzes facial expressions to identify signs of tiredness including head movement and eyelid closure. When fatigue is detected, a signal is sent to a microcontroller (Node MCU ESP8266) to initiate safety procedures, and an auditory alarm is triggered. To bring the car to a stop, the system communicates with a motor control unit (L298N). In an effort to increase safety, an autonomous steering system uses an ultrasonic sensor to ensure obstacle-free lane shifting and tries to reroute the car to the left. In addition to in-car safety, Twilio's SMS service enables remote monitoring, notifying the relevant authorities for timely action. A 9V Li-ion battery powers each component, ensuring This technology improves driver safety by combining automated vehicle control, remote alarms, and real-time fatigue detection. Future developments might concentrate on improving response speed, enhancing detection accuracy, and increasing adaptability to various driving conditions.
Authors
- S. Sathiya
- B. Vigneshwaran (ORCID: https://orcid.org/0000-0003-0497-813X)
- Parimala Devi M
- A Sasikanth
- Tharun Pranav K S
- B Thirumurugan
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1109/icicv64824.2025.11085821
- Primary Topic
- Sleep and Work-Related Fatigue
- Type
- article
- Field-Weighted Citation Impact
- 0.00