Employee Monitoring using Image Processing

Abstract

Now-a-days demand of Employee Monitoring System is increasing with a rapid speed. Along with check-in and check-out details, it is also essential to calculate the total working hours of employees. Existing systems are only focused towards check-in and check-out. Our proposed system will be the potential solution for this problem, after sign in to the web portal the media device will implicitly monitor the employee. Moreover the proposed system will also detect the drowsiness based on eyes blink rate. Face and eyeball detection will be implemented using Haar cascade and Contour detection algorithms respectively. Finally the monitored data will be uploaded on real time cloud for the access and necessary actions by remotely located HR against the employees. This will be definitely helpful in increasing the productivity of the organization.