Real Time Drowsiness Detection Using Open CV

Abstract

The project is designed in the prime motive to design a non-invasive model which senses and favors us to figure out the fatigue of an employee. Due to the drowsiness of an employee they’re not able to meet the deadlines of the company deals provided to them on time and leads to the rise of cost of company. This system will be implemented to track employee eyes using small camera and algorithm together. By this, we will be able to follow up the indications of drowsy employee and keeps himfromsleeping.Thisprojectcontributesin determiningfatigueofanemployeeinadvance andwillalerthimwithanotificationorbeepalarm. In order to accomplish the desired end product, we make use of an open source library i.e., OpenCV which is a very efficient tool for processing any visual image and there is another package which is made use to recognize the region of interest which in our case are face and eyes. This tool is known as Haar Cascade. The warning will be deactivatedonly afteremployeewakesupandhis/hereyeclose/open state remains constant for more than 6sec.

Keywords:OpenCV, Haar Cascade, employee.