666 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number A4548119119/2019©BEIESP DOI: 10.35940/ijitee.A4548.119119 Journal Website: www.ijitee.org Heavy Eyed Driver Detection System | Zendy

A. Sharmila Agnal | Zendy; M Balaji | Zendy; D. Adinarayana Reddy | Zendy; P. Vikas | Zendy

Open Access

666 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number A4548119119/2019©BEIESP DOI: 10.35940/ijitee.A4548.119119 Journal Website: www.ijitee.org Heavy Eyed Driver Detection System

Author(s) -

A. Sharmila Agnal,

M Balaji,

D. Adinarayana Reddy,

P. Vikas

Publication year - 2019

Publication title -

international journal of innovative technology and exploring engineering

Language(s) - English

Resource type - Journals

ISSN - 2278-3075

DOI - 10.35940/ijitee.a4548.119119

Subject(s) - gadget , face (sociological concept) , computer science , computer hardware , engineering , computer security , computer graphics (images) , sociology , social science , algorithm

Driver fatigue is a great element in a massive variety of car accidents. Drowsy driver warning gadgets can form the foundation of the machine to maybe minimize the accidents associated with drowsiness. This paper uses a web cam for picture capturing. A web camera is connected to PC, and images are received and processed with the aid of mat lab using image processing. By setting the camera interior the car, we can monitor the face of the driver and look for the eye actions that say whether the driver is in a situation to drive. If the gadget detects that the driver is drowsy, a warning alert is issued. If eyes are detected as shut for too lengthy a beep sound is produced and as a result alerting the driver.

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