Al Powered Multi Sensor Driver Drowsiness Detection System With Real Time Alert And Road Assistance

Mohammed Abdul Raheem; Khaja Rafay Uddin; Mr. Mohammed Javeed

doi:10.62647/IJITCE2025V13I2sPP414-418

Authors

Mohammed Abdul Raheem B.E Students, Department Of Information Technology, ISL Engineering College, Hyderabad, India Author
Khaja Rafay Uddin B.E Students, Department Of Information Technology, ISL Engineering College, Hyderabad, India Author
Mr. Mohammed Javeed Driver drowsiness is a leading cause of road accidents and fatalities. In this project, we design and implement an Al-powered multisensor driver drowsiness detection system using Python and OpenCV. The system continuously monitors the driver using computer vision (camera) and additional sensors (e.g., heart rate or steering-input sensors). It performs real-time facial landmark and eye-state analysis via a trained convolutional neural network (CNN) to detect prolonged eye closure and yawning. Upon detecting drowsiness, the system issues an audible alert and warning message to the driver. The system can also integrate with connectedvehicle services to automatically Author

DOI:

https://doi.org/10.62647/IJITCE2025V13I2sPP414-418

Keywords:

AI

Abstract

accidents and fatalities. In this project, we
design and implement an Al-powered multisensor
driver drowsiness detection system
using Python and OpenCV. The system
continuously monitors the driver using
computer vision (camera) and additional
sensors (e.g., heart rate or steering-input
sensors). It performs real-time facial landmark
and eye-state analysis via a trained
convolutional neural network (CNN) to detect
prolonged eye closure and yawning. Upon
detecting drowsiness, the system issues an
audible alert and warning message to the
driver. The system can also integrate with
connectedvehicle services to automatically