• D SAMEERA
• Dr. K VENKATA RAO

Face detection is concerned with finding whether or not there are any faces in a given image and, if present, returns the image location and content of each face. Security and surveillance are the two important aspects of human being. In this paper we propose face detection and recognition based automatic attendance management system that will capable of processing images very fast while acquiring very high true positive face detection rate. This paper describes a simple and easy hardware implementation of face recognition based automatic attendance management system using Raspberry Pi, which itself is a minicomputer of a credit card size and is of a very low price. A specific amount of time is set and after completion of that time period the captured attendance will be directly stored and uploaded into a database automatically using ethernet and without any human interaction. camera is connected to one of the USB ports of raspberry pi. Haar Cascader and Eigen Faces algorithms are used for face detection and recognition respectively. The results reveal that the proposed system can be used for effective attendance management and shows excellent performance efficiency

face detection,face recognition,haar like features,eigen faces,raspberry pi

"FACE RECOGNITION BASED AUTOMATIC ATTENDANCE MANAGEMENT SYSTEM USING RASPBERRY PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.365-370, June 2019, Available :http://www.jetir.org/papers/JETIR1907808.pdf

"FACE RECOGNITION BASED AUTOMATIC ATTENDANCE MANAGEMENT SYSTEM USING RASPBERRY PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp365-370, June 2019, Available at : http://www.jetir.org/papers/JETIR1907808.pdf