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Survey Paper on : College Automation System using Face Recognition with RFID
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1128 Survey Paper on: College Automation System using Face Recognition with RFID 1,2,3,4 Student, PRESâs SVIT, Chincholi ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In the age of scientific development, people are becoming more and more dependent on mobile phones. This mobile application is designed to reduce the manualworkand ease out teaching and learning in academics. We are developing an Android based College Application.Videowillbe taken by camera and sent to server. Faces will be detected from that video. Teacher will have RFID reader. Students will mark his attendance using RFID tag. The result should be calculated and displayed on the spot. Theportalshouldinclude few test series such as an examination for Phd level, or assignments or any BE Level exams. Key Words: Image Processing,RFID tag,RFID reader,Face Recognition,APK(Android Application Package)file,Automated Attendance System. 1.INTRODUCTION In this modern era everything is handled digitally and everyone has a smart phone.So why donât we take an advantage of this? To overcome the problem of manual system we are developing this system. In this system, the student shows face to Face RecognitionSystem/Camera,face is captured and recognized so that partial attendance is marked and stored. At the time of entry in classroom RFID tag is read and it will be mark full attendance. Here student which pass through face recognition phase only those are able to RFID phase. Student information isstored,whenboth phases are completed & student status is sent to parent mobile application. In the web portal student and staff attendance, student marks, events information, admission update, study material, exam schedule, notification etc. entities are uploaded by Authorized person(principal/staff). According to students profile relevant notification, student library status, fee dues, exam details ,circulate to student application, and individual student progressand attendance is send to parent through application. 2.EXISTING SYSTEM In traditional class seating, student attendance record isone of the important issues deal with any school, college and university. To keep the student attendance record valid and correct, the faculty staff should have a propermechanismfor verifying and maintaining or managing that attendance record on regular basis. Faculty staff may experience difficulty in both verifying and maintaining each studentâs record in classroom environment on regularbasis,especially in classes attended by a large number of students. In practice, the manual system also requires more time for recording and calculating the average attendance of each enrolled student. On the other hand searching and issue books from library, checking fee dues are time consuming and boring work. Most of the parents are unaware about their child behavior and progress. Due to limited storage new files canât be added[3].Staff have to fill attendance and upload manually.[5] Imageswith static faceisdetectedfaces with expressions canât be detected.[9] 3. PROPOSED SYSTEM In a modern era Automated attendance systemisaverygood demonstration of automation. It requires less time,less bulky. This system is used for generating an attendance report of personnel and used for security purpose also. In the market various automated attendance systems are available. Biometric attendance system, punch card, swipe card are examples of automated attendance system. To overcome some problemsrelated with these system. Weare combining to techniques that are RFID card and Face recognition. Large database is used to maintain records.The system also helpsthe faculty to easily find out defaultersina single click. In this system we can take attendance ofstudent at college gate by using face recognition, here input is face of student. Block algorithm is used for face recognition to match faces of student with trainee data. Again in classroom attendance is taken by RFID tag, RFID Reader. These two records then merge to map and generate final attendance report. Monthly, weakly attendance report of student is generated by system, average attendance of student is calculated and teachers can give term work marks depend on average attendance of particular student. Attendance report is send to the web portal by the system. Authorized person decide to which notification, notices send to parent and Student Application through web portal. Android application is used for interaction between teacher, parents and student. Teacher can send student attendance, marks, daily record of student to parents, also can send important notes, exam timetable, Library informationnoticetostudent. Student can give feedback to teacher using same android application. 1.1 Scope Parent can see student attendance, marks, review of his child, admission process, fees, office timings on app. Sonali T. Benke 1, Tejashree B. Ekhande2, Kokila R. Kharde3, Antara D. Pawar4
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1129 1.2 System Architecture Fig -1: Architecture Diagram In our system students are come at thegate.Throughcamera video will be capture. Then faces will be detected from that video. Using automated attendance system capturedfacesor students are verified. This automated attendance system is connected to the database. Where students data will be stored. Then in classroom students attendance mark using RFID tag-reader. Every students has unique identification provided by RFID tag. When RFID and face recognition both phases are completed then student attendance is marked and attendance report generated in automated attendance system. Then this attendance report send to the web portal. Using web portal we can send notification, exam marks, weekly and monthly or as per the requirements attendance report send to the parent and student application. In student application we provide feedback system, notices, event, library information, due fees and hostel information. Parent can see student attendance ,marks, review of his/her child, admission process, fees, office timing on app. Student will get user id and password from college for access app. 3. ALGORITHM 3.1 Block Matching Algorithm In our system Block Algorithm is used for Face recognition. In this algorithm, face image is reshaped into standard size(128*128). Then next step isdivide Faceimage in equal size block. Using Grey level co-occurrence matrix features are extracted from each block. This procedure is applied to both face images, means training image and queried images. After feature extraction Block Machine algorithm applied. Then using Euclidian distance between the stored images and queried images calculate. Euclidian distance less of that image that will match as the recognized face. Fig -2: Block Matching Algorithm 4. CONCLUSIONS This proposed system gives automated attendance of studentâs via RFID and Face Recognition. Typically students attendance ismarked by the lecturer manuallywhichspends a lot of time. Also amount of proxiesgets recorded inmanual system. RFID will mark the attendance robotically when studentâs card is passed through the reader and student is enters the class. While face recognition will assist in validating student and marking the attendance of that individual student ensuring avoidance of proxies. ACKNOWLEDGEMENT This research paper is made possible through the help and support from everyone including parent, teacher, family, friend and in essence ,all sentient beings. It gives us great pleasure in presenting the survey paper on âCollege Automation Systemâ.We would like to take this opportunity to thank our internal guide Prof. Patole U.R. for giving us all the help and guidance we needed. We are really grateful to them for their kind support. We are also grateful to Prof. Shedge K.N., Head of Computer Engineering Department,Sir visveswarya Institute Of Technology, for his indispensable support, suggestions. In the end our special thanks to prof. Tambe P.S. for providing various resources such as laboratory with all needed software platforms, continuous Internet connection, for Our Project. REFERENCES [1] D. Kornack and P. Rakic, âCell Proliferation without Neurogenesis in Adult Primate Neocortex,â Science, vol. 294, Dec. 2001, pp. 2127-2130, doi:10.1126/science.1065467. [2] Poornima S, Sripriya N, Vijayalakshmi B,Vishnupriya PâAttendance Monitoring System using Facial Recognition with Audio Output and Gender Classificationâ IEEE International Conference on Computer, Communication, and Signal Processing (ICCCSP-2017) 978-1-5090-3716-2/17/ 2017.
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1130 [3] Dr. A Lenin Fred, S. Wilson ,Block Based Face Recognition Algorithmâ IJISET , Vol. 4 Issue 9, September 2017 ISSN (Online) 2348 â 7968 | Impact Factor (2016) â 5.264 [4] R. Ramya Krishnan, R. Renuka, C. Swetha, R. Ramakrishnan âEffective AutomaticAttendanceMarking System Using Face Recognition with RFIDâ IJSRST ,Volume 2 ,Issue 2 , 2016. [5] Kavita âA Survey paper for Face Recognition TechnologiesâInternational Journal of Scientific and Research Publications, Volume 6, Issue 7, July 2016 441 ISSN 2250-3153 www.ijsrp.org [6] Pooja S. Sharma, Reshma R. Shetty, Gayatri V. Yadkikar, âCollege Automation Systemâ, IJIRST âInternational Journal for Innovative Research in Science & Technology, Volume 2, Issue 10, March 2016 ISSN (online): 2349-601 www.ijirst.org 96 [7] Prerna R. Sakharkar, Pranita S. Giri.âAutomated Attendance by Face Recognition and SMS Sending tothe Authorized Personâ International Journal of Advanced Research in Computer and communicationEngineering, Vol 5, Issue 3, March 2016 [8] Muhammad Fuzail, Hafiz Muhammad Fahad Nouman, Muhammad Omer Mushtaq, Binish Raza, Awais Tayyab,Muhammad WaqasTalibâFaceDetectionSystem for Attendance of Classâ Studentsâ,international journal of multidisciplinary science and engineering, vol.5,no.4, april 2014 [9] Rahul Chandrasekaran, âSecurity Assurance Using Face Recognition & Detection System Based On Neural Networksâ, The 2005 IEEE International Conference on Neural Networks and Brain ICNN&B'05 [10] Maja Pantic, Member, IEEE,and Leon J. M. Rothkrantz âFacial Action Recognition for FacialExpressionAnalysis From Static Face Imagesâ IEEE transactions on systems, man, and cyberneticsâpart b: cybernetics, vol.34,no.3, june 2004 [11] Nai-Jian Wang âA Real-time Multi-face DetectionSystem Implemented on FPGAâ, 2012 IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2012) November 4- 7,2012 [12] Jomon Joseph, K. P. Zacharia(2013) âAutomatic Attendance Management System Using Face Recognitionâ,International Journal of Science and Research,vol.2,Issue 11, pp328-330. [13] âErp system for college automation using RFID tagsâ, Multidisciplinary Journalof ResearchinEngineeringand Technology, Volume 2, Issue 2, Pg.437-446 [14] Yohei Ishii, âFace and Head Detection for a Real-Time Surveillance Systemâ, Proceedings of the 17th International Conference on Pattern Recognition (ICPRâ04) 1051-4651/04 $ 20.00 IEEE [15] Samuel Lukas, Aditya Rama Mitra, Ririn Ikana Desanti, Dion Krisnadi âStudent Attendance SysteminClassroom Using Face Recognition Techniqueâ IEEE 978-1-5090- 1325-8/16/2016
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