Submit your paper : editorIJETjournal@gmail.com Paper Title : Attendance Monitoring Systems for an Organization ISSN : 2395-1303 Year of Publication : 2022 10.5281/zenodo.6607823 MLA Style: - Mr.Baskaran.M /AP, Indhuraj.B, Ajith.C, Kaleesbharath.S, Attendance Monitoring Systems for an Organization , Volume 8 - Issue 3 May - June 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org APA Style: - Mr.Baskaran.M /AP, Indhuraj.B, Ajith.C, Kaleesbharath.S, Attendance Monitoring Systems for an Organization , Volume 8 - Issue 3 May - June 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org Abstract Image processing based student attendance System is the easiest way to keep track of attendance for organizations such as Educational Institutions, Business organizations. Among the person identification methods, face recognition is known to be the most natural ones; since the face modality is the modality that uses to identify people in everyday lives. Although other methods, such as fingerprint identification can provide better performance, but they are not appropriate for natural smart interactions due to their intrusive nature. This face detection differentiates faces from non faces and is therefore essential for accurate attendance. Our Proposed strategy involves face recognition for marking the student attendance. Arduino microcontroller is used for face detection and face recognition. The camera will be connected to the Arduino module. The student database is collected. The database includes name of the students with their registered numbers and their face images. Camera will be placed in front of the class in such a way that it can capture the entire class, which is connected to the Arduino. Thus with the help of this system time will be saved and it is so convenient to record the attendance at any time throughout the day. Reference Prof. Avanti Thakkar, Bhalerao Prateek, Deshmane Rahul. Development of Fingerprint Biometric Attendance Management System using Wireless Connectivity 2015 Naveed Khan Balcoh, M. Haroon Yousaf, Waqar Ahmad and M. Iram Baig Algorithm for Efficient Attendance Management: Face Recognition based approach 2012 Rekha A L , Dr. Chethan H K Automated Attendance System Using Face Recognition Through Video Surveillance 2014 Badal J. Deshmukh, Sudhir M. Kharad Efficient Attendance Management: A Face Recognition Approach 2014 Dr. Nita Thakare, Meghna Shrivastava, Nidhi Kumari, Neha Kumari, Darleen Kaur , Rinku Singh. Face Detection And Recognition For Automatic Attendance System 2016 Automated Attendance System Using Image Processing. Pooja G.R, Poornima M, Palakshi S, M. Bhanu Prakash Varma, Krishna A N 2018 Automatic Attendance Monitoring System. P.Padma Rekha D.Amudhan, V.Narendhiran, N.Pavithra, S.Ramya 2020 Smart Dot – Location Based Attendance. Ms. Aria1, Ms. Urvi Verma , Ms. Simran Swamy. 2018 Automatic Student Attendance System Using Face Recognition. DR.megha. P.Araker. 2018 Keywords - Arduino, microcontroller, camera, Image, Face. |