Alom, Md. ZahangirHoque, Md. RezwanulKarim, Nabil TahmidulRozario, Saikat LawrenceMd. Rumman Bin Ashraf2013-09-092013-09-0920139/1/2013ID 09201016ID 09201020ID 10101007ID 10101028http://hdl.handle.net/10361/2747This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2013.Cataloged from PDF version of thesis report.Includes bibliographical references (page 50).This paper 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. Our system generates how much time each employee spends at his workstation and provides update to the employer whenever he wants. This product gives much more solutions with accurate results in user interactive manner rather than existing attendance and leave management systems.51 pagesenBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Real Time Face RecognitionPrinciple Component AnalysisNatural Language ProcessingFace recognitionComputer science and engineeringHaar Cascade ClassifierThesis