Indian Journal of Science and Technology

Abstract

Background/Objectives: This paper proposes a new system for taking attendance in industries, organizations and many companies by using personal identification strategies like finger print identification, RFID and etc. Compared to all these personal identification strategies face recognition is most natural, less time taken and high efficient. This paper also gives security for industries or organizations using the face recognition technology. Methods/Statistical Analysis: Eigen faces algorithm is used in this system for face recognition and detection to both attendance system and security system. Raspberry pi 2 with Broadcom 2836 processor is used for controlling and data storage purpose. A camera is interfaced for taking user image and initially stores the user image in the system database. A GSM modem is used for send message to the absent student parent’s mobile number. For security system, camera captures the user image and compare with data base image by using an Eigen face algorithm. Findings: Raspberry pi 2 contains 1 GB RAM to achieve high speed of operation and accuracy. It uses QT creater for creating and running the application of face recognition system. It contains OpenCV for image processing application to load the images into the system and process the images. Conclusion: This system developed in easy way to understand every one. The attendance report will be generated mechanically without any human interference and stored in storage device. 

Keywords: Camera, Eigen Faces Algorithm, Ethernet, GSM, OpenCV, Raspberry Pi 2