B. Swain, Jayshree Halder, Siddharth Sahany, P. Nayak, S. Bhuyan
{"title":"Automated Wireless Biometric Fingerprint Based Student Attendance System","authors":"B. Swain, Jayshree Halder, Siddharth Sahany, P. Nayak, S. Bhuyan","doi":"10.1109/ODICON50556.2021.9428983","DOIUrl":null,"url":null,"abstract":"This paper aims to establish an automated wireless system that records and maintains the students' attendance system for the modern education sector. As in 2002, 75% attendance was made compulsory PAN India, the practice of recording and maintaining the attendance become essential. It's been 18 years since then but the conventional method remains the same that leads to a high probability of human errors, misplacement of the documents, redundant entry of the attendance manually, more chances of student giving proxy on behalf of their classmates. The automated wireless biometric fingerprint-based student attendance system, not only upgrades the practice of the conventional method but also makes it automated and more convenient and more secure to record and maintain the attendance, as well as completely eradicating the malpractice of proxy. It is a very cheap device compared to the ones available in the general market. The whole system is comprised of a Fingerprint sensor, Arduino, OLED display, Arduino to USB cable, and an Android Smartphone with an app specially designed to control the device. The image enhancement and orientation of field estimation of the fingerprint image have been applied through MATLAB Fingerprint Recognition Toolbox. The whole systems working is summed up in three steps, first is the enrolment of the student, loading data of the specific group or batch whose attendance is to be recorded and finally taking the attendance, thus also saving an ample amount of time which gives the students a clear opportunity to interact with the professor and clear their doubts. And also playing a major role in Digital India by automating the system and by eradicating the use of paper which is initially made of trees contributing towards the noble act of sustainable development.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ODICON50556.2021.9428983","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper aims to establish an automated wireless system that records and maintains the students' attendance system for the modern education sector. As in 2002, 75% attendance was made compulsory PAN India, the practice of recording and maintaining the attendance become essential. It's been 18 years since then but the conventional method remains the same that leads to a high probability of human errors, misplacement of the documents, redundant entry of the attendance manually, more chances of student giving proxy on behalf of their classmates. The automated wireless biometric fingerprint-based student attendance system, not only upgrades the practice of the conventional method but also makes it automated and more convenient and more secure to record and maintain the attendance, as well as completely eradicating the malpractice of proxy. It is a very cheap device compared to the ones available in the general market. The whole system is comprised of a Fingerprint sensor, Arduino, OLED display, Arduino to USB cable, and an Android Smartphone with an app specially designed to control the device. The image enhancement and orientation of field estimation of the fingerprint image have been applied through MATLAB Fingerprint Recognition Toolbox. The whole systems working is summed up in three steps, first is the enrolment of the student, loading data of the specific group or batch whose attendance is to be recorded and finally taking the attendance, thus also saving an ample amount of time which gives the students a clear opportunity to interact with the professor and clear their doubts. And also playing a major role in Digital India by automating the system and by eradicating the use of paper which is initially made of trees contributing towards the noble act of sustainable development.