Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{171937,
        author = {Parachuru Padma Sanjana and Jaya krishna and Afroj Alam and Yakesh and Ashok},
        title = {Driver Alertness Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {1553-1559},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171937},
        abstract = {Driver drowsiness and distraction are among the major contributors to road accidents, and hence, monitoring systems need to be developed to improve the safety of driving. The present research introduces a compact real-time driver monitoring system for a vehicle that uses image-processing techniques to detect drowsiness and inattention. The system continuously monitors eye and head movements by identifying key indicators such as slow blinking, closed eyes, or head turning. The system immediately alerts the driver with auditory alarms or seat vibrations if it detects potential risks to minimize the chance of accidents. In extreme cases, when the driver does not respond, the system increases the alert levels by sending text messages and emails to designated family members. The system therefore allows live camera streams to be merged with machine learning algorithms that determine a driver's alertness level as detected in real-time images; the research offers an innovative, scientifically-based approach to increasing safety on roads. It, therefore, provides a robust yet accessible solution to mitigate drivers' risks associated with drowsiness and distraction, toward improved safe driving practices.},
        keywords = {Driver Monitoring System, Drowsiness, Machine Learning, Python, Face Detection, Eye extraction, OpenCV.},
        month = {January},
        }