Evaluating Musculoskeletal Complications Among Individuals With Diabetes Mellitus

Dr. Simran Maheshwari; Dr. Subhan Quraishi; Dr. Babita Ghodke

Volume : III, Issue : IV, April - 2014

Evaluating Musculoskeletal Complications Among Individuals With Diabetes Mellitus

Dr. Simran Maheshwari, Dr. Subhan Quraishi, Dr. Babita Ghodke

Abstract :

This paper presents an automated system for human face recognition in a real time background for an institution / corporate to mark the attendance of their students. So Smart Attendance using Real Time Face Recognition is a real world solution which comes with day to day activities of handling individuals. The task is very difficult as the real time background subtraction in an image is still a challenge. To detect real time human face, Principal Component Analysis (PCA) is used to recognize the faces detected with a high accuracy rate. Once recognition is done with the matched face, then attendance will be marked and updated in the database. This project gives much more solutions with accurate results in user interactive manner rather than existing attendance and leave management systems. In addition to that we provide ideal solution to the problem of power wastage is appliance available in the class room is controlled through face recognition. The ease of deployment is due to wireless mode of communication. A prototype of the controller is implemented, and shows how the controller can easily and flexibly control the appliances.