Automated Employee Face Recognition

Abstract — The Objective of this system is to presents an automated system for human face recognition in a real time background for a company to mark the attendance of their employees. So Smart Attendance using Real Time Face Recognition is a real world solution which comes with day to day activities of handling employees. The task is very difficult as the real time background subtraction in an image is still a challenge. To detect real time human face Haar cascade is used and a simple fast Principal Component Analysis is used to recognize the faces detected with a high accuracy rate. The matched face is then used to mark attendance of the employees. Addition to this there is a method to handle employee leaving requests through Natural Language processing by approving or rejecting leaves and replies for all requests. This product gives much more solutions with accurate results in user interactive manner rather than existing attendance and leave management systems. Once recognition is done, automatically attendance will be updated in the database along with his name, date and time. An html file is automatically updated by our system so that a remote authenticated user can access the attendance file.Our system is integrated to an Automatic Attendance Management System, with the help of which some post attendance works like stipend amount calculation, viewing attendance report for the required date, calculating the number of hours a person is present in the company, searching for a required person in the company etc