Today, students (class) attendance is become more important part for any organizations/institutions. Recording and monitoring of class attendance is an area of administration that requires significant amounts of time and effort in a school/university environment. To solve this problem we are using RFID technology. RFID technology is a powerful tool to manage student‘s attendance throughout the working school day and it will also enhance classroom security. RFID is a technology that allows for a tag affixed on identity card of student to communicate wirelessly with a reader. Reader will read the tag number and send to raspberry pi. Program running in raspberry pi will mark the corresponding student to present. At the end, SMS notification is send to all students’ parents those who are absent.

Student, Internet of Things (IoT), Radio Frequency Identification (RFID), Attendance, Raspberry Pi, SMS Gateway, Arduino Uno

[1] Rajan Patel, Nimisha Patel and Mona Gajjar, “Online Students Attendance Monitoring System in Classroom Using Radio Frequency Identification Technology: A Proposed System Framework”, International Journal of Emerging Technology and Advanced Engineering, ISSN 2250-2459,Volume 2, Issue 2, pp. 61-66 February 2012
[2] Ch.S.R.Gowri V.Kiran and G.Rama Krishna, “Automated Intelligence Systemfor Attendance Monitoring With Open CVBased on Internet of Things (IOT)”, International Journal of Science, Engineering and Technology Research (IJSETR), Volume 5, Issue 4, pp. 905-913 April 2016
[3] Tabassam Nawaz, Amber Assad and Zunaira Khalil, “Fully Automated Attendance Record Systemusing Template Matching Technique”, International Journal of Engineering & Technology IJET-IJENS Vol.10 Issue.03 pp.57-64, 2010
[4] Tabassam Nawaz, Saim Pervaiz, Arash Korrani and Azhar-UD-Din, “Development of Academic Attendence Monitoring System Using Fingerprint Identification”, IJCSNS International Journal of Computer Science and Network Security, VOL.9, No.5, pp.164-168 May 2009
[5] Muhammad Fuzail, Hafiz Muhammad Fahad Nouman, Muhammad Omer Mushtaq, Binish Raza, Awais Tayyab and Muhammad Waqas Talib, “ Face Detection System for Attendance of Class Students”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 5, Issue 3, pp.6-10 March 2017
[6] B.Mani Kumar, M.Praveen Kumar and Rangareddy, “RFID based Attendance monitoring system Using IOT with TI CC3200 Launchpad”, International Journal & Magazine of Engineering, Technology, Management and Research, Volume No.2, Issue No. 7,pp.1465-1467, 2015
[7] Nirmalya Kar, Mrinal Kanti Debbarma, Ashim Saha, and Dwijen Rudra Pal “Study of Implementing Automated Attendance System Using Face Recognition Technique”, International Journal of Computer and Communication Engineering, Vol. 1, No. 2, PP.100-103, July 2012.
[8] Yongqiang Zhang and Ji Liu, “Wireless Fingerprint Attendance Management System”, in Proceedings of the 2007 WSEAS International Conference on Computer Engineering and Applications, Gold Coast, Australia, pp.451-455, January 17-19, 2007
[9] Muhammad Faiz Mokhtar1, Che Wan Shamsul Bahri C.W.Ahmad and Khirulnizam Abd Rahman, “ E-AttendanceSsystem (EAS) using Bluetooth”, in Proceeding of the 3rd International Conference on Artificial Intelligence and Computer Science (AICS2015), MALAYSIA, pp.252-261, 12 -13 October 2015
[10] Chandrappa S, Dharmanna L, Shyama Srivatsa Bhatta U V, Sudeeksha Chiploonkar M, Suraksha M N, Thrupthi S,"Design and Development of IoT Device to Measure Quality of Water", International Journal of Modern Education and Computer Science(IJMECS), Vol.9, No.4, pp.50-56, 2017.DOI: 10.5815/ijmecs.2017.04.06
[11] Chandrappa S, Dharmanna Lamani, Shubhada Vital Poojaryb, Meghana N U,"Automatic Control of Railway Gates and Destination Notification System using Internet of Things (IoT)", International Journal of Education and Management Engineering(IJEME), Vol.7, No.5, pp.45-55, 2017.DOI: 10.5815/ijeme.2017.05.05
[12] Chandrappa, Dharmanna Lamani “Segmentation of Retinal Nerve Fiber Layer in Optical Coherence Tomography (OCT) Images using Statistical Region Merging Technique for Glaucoma Screening” International Journal of Computer Applications (0975 –8887) Volume 128 , Issue No.10, pp-32-35, October 2015
[13] Dharmanna L, Chandrappa S, T. C. Manjunath, Pavithra G,"A Novel Approach for Diagnosis of Glaucoma through Optic Nerve Head (ONH) Analysis using Fractal Dimension Technique", International Journal of Modern Education and Computer Science(IJMECS), Vol.8, No.1, pp.55-61, 2016.DOI: 10.5815/ijmecs.2016.01.08
[14] Dharmanna L, Chandrappa S, T. C. Manjunath, Pavithra G," Automated Diagnose of Neovascular Glaucoma Disease using advance Image Analysis Technique", International Journal of Applied Information Systems (IJAIS), Volume 9 Isuue No.6, September 2015
[15] Dharmanna L, Chandrappa S, T. C. Manjunath, Pavithra G," Different Clinical Parameters to Diagnose Glaucoma Disease: A Review", International Journal of Computer Applications (0975 –8887), Volume 116 –No.23, pp-43-46, April 2015