The Mechanical Design of Drowsiness Detection Using Color Based Features

Subject Areas : journal of Artificial Intelligence in Electrical Engineering

Peyman jabraelzade ¹ , Rahim parikhani ²

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Received: 2016-02-21 Accepted : 2016-02-21 Published : 2015-06-01

Keywords: drowsiness, face detection, eye state detection, feature selection and PERCLOS,

Abstract :

This paper demonstrates design and fabrication o f a mechatronic system for human drowsiness detection. This system can be used in multiple places. For example, in factories, it is used on some dangerous machinery and in cars in order t o prevent the operator o r driver from falling asleep. This system is composed of three parts: (1) mechanical, (2) electrical and (3) image processing system. After processing the input image and eye position detection, the system investigates the state of the eye, and in the case of drowsiness, the system activates the alarm. It also has the ability to tra ck the eyes.

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