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Eye Fatigue Detection System

Authors: Ch. Sravan; K.J. Onesim; V. Sri Sai Bhavana; R. Arthi; G. Srinadh;

Eye Fatigue Detection System

Abstract

Now a day’s many accidents occur due to Driver Fatigueness. The proposed system notices the Eye fatigue using Image processing by calculating the threshold values at specific location. This system works on auditing eyes and face of the driver. Person is said to be fatigue if his/her eyes are closed for a certain span of time and notifies. The proposed system mainly concentrates on eyes region. The main aim is to protect the driver without occurring of any accident by alerting the driver. Therefore, this system proves to be best for detection of Eye Fatigue compared to other systems which are made up of microprocessors. With this system, major road accidents occur due to driver fatigue can be evaded.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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