Intelligent Fatigue Detection and Automatic Vehicle Control System

TL;DR

This paper presents an integrated system for early fatigue detection in train drivers using image processing and heart rate sensors, enabling automatic train control to prevent accidents.

Contribution

It introduces a novel combination of image analysis and physiological sensors for real-time fatigue detection in train drivers, enhancing safety measures.

Findings

Effective fatigue detection through image comparison and heart rate monitoring.

Automatic train control activated upon fatigue detection.

High accuracy in identifying driver drowsiness states.

Abstract

This paper describes method for detecting the early signs of fatigue in train drivers. As soon as the train driver is falling in symptoms of fatigue immediate message will be transfer to the control room indicating the status of the drivers. In addition of the advance technology of heart rate sensors is also added in the system for correct detection of status of driver if in either case driver is falling to fatigue due to any sever medical problems .The fatigue is detected in the system by the image processing method of comparing the image(frames) in the video and by using the human features we are able to estimate the indirect way of detecting fatigue. The technique also focuses on modes of person when driving the train i.e. awake, drowsy state or sleepy and sleep state. The system is very efficient to detect the fatigue and control the train also train can be controlled if it cross any such signal by which the train may collide on another train.