slugAn Application in Railway Derailment by Measuring Eye Blinking and Vibration Sensing for Safe Driving
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 5
Abstract
Railways are large infrastructures and are the prime modes of transportation in many countries. As it is closely associated with passenger and cargo transportation, it owns high risk in terms of human lives and cost of assets. New technology and better safety standards are constantly introduced but accidents do occur. There will always be some risk associated with derailments but it can be reduced by elimination of the root causes. A derailment is an accident on a railway in which a train leaves the rails, which can result in damage, injury and death. In the case of a railway vehicle running on track, irregularities in track geometry can lead to complex dynamic interaction between the vehicle and track. Therefore , Driver in - alertness is an important cause for most accidents related to vehicle crashes . This paper basically focused on Drowsy driver detection methods can form the basis of a system to potentially reduce accidents related to driver doziness that leads major accidents . Intel - Eye describes a real - time driver in alertness and shock related facial expression monitoring. Intel - Eye obtains visual cues such as eyelid movement; gaze movement, head movement, and facial expression that typically characterize the level of alertness of a person are extracted in real time and systematically combined to infer the fatigue level of the driver. Intel - eye distinguishes itself by the Two - Way Approach in eye gaze analysis. Shock analysis is done to identify the driver’s expression and signals are sent for automatic braking system. A probabilistic model is deve loped to model in Intel - Eye and it is used for predicting human in - alertness based on the visual cues obtained.
Authors and Affiliations
Gopal Malakar, Upasana Sinha, Dr. Vishnu Kumar Mishra
Keywords
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- EP ID EP18056
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