This document outlines a real-time depletion detection system that uses facial features to enhance road safety. The aim of the system is to mark depletion in drivers by analysing their expressions and facial movements, and to provide timely warnings to prevent incidents of neglect.
The detection system uses advanced computer vision techniques to pick up and process videos from a camera placed inside the vehicle. The main features of the face are continuously monitored, such as the length of eye closure, the rate of blink and the position of the headMachine learning algorithms are trained on a series of so-called face images to identify patterns associated with depletion.
When the system reveals signs of exhaustion, it stimulates an alarm mechanism, which may include visual signals or a review to stimulate the driver to rest. This proactive approach not only enhances driver awareness but also contributes to reducing the risk of accidents due to drowsiness. Integrating this technology into vehicles would greatly improve public safety on roads and the well-being of drivers.
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