Automation of attendance system using RFID, biometrics, GSM Modem with .Net framework

Ansari, Aamir Nizam; Navada, Arundhati; Agarwal, Seema; Patil, Siddharth; Sonkamble, Balwant A.

doi:10.1109/icmt.2011.6002032

Cited by 21 publications

(4 citation statements)

References 3 publications

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“…Ansari et al [2] proposed an attendance system based on RFID, biometrics, GSM modem with .Net framework. Student attendance was taken using RFID reader and student ID card.…”

Section: Similar Implementationsmentioning

confidence: 99%

Development of A Multi-Client Student Attendance Monitoring System

2019

IJRTE

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A multi-client student attendance student monitoring system was developed. The attendance system consists of the client and the server. The core functions of the client device are verifying student’s identity for attendance recording and monitoring their presence in class. Haar-feature based cascade classifier for object detection and the Scale Invariant Feature Transform Technique (SIFT) technique were implemented for the face authentication process. This paper highlights a full-fledge system architecture with face-based identification implemented on the Raspberry Pi 2 board as the client alongside with RFID authentication for initial identification. The system also has webpage integration for system management. The accuracy achieved was 84% for face verification and 75% for face recognition. The experimental result showed that the recognition rate was affected by inconsistency of wearing glasses, distance between the face and the webcam, lighting condition and the environmental background. A database was setup to store attendance and student information. It is supported with a web application to view, update and analyze the attendance data

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“…Ansari et al [2] proposed an attendance system based on RFID, biometrics, GSM modem with .Net framework. Student attendance was taken using RFID reader and student ID card.…”

Section: Similar Implementationsmentioning

confidence: 99%

Development of A Multi-Client Student Attendance Monitoring System

2019

IJRTE

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“…Generally, this is the following parameters like Fingerprint [1], Thumb impression [2], Hand geometry [3], Iris Recognition [4], Facial Recognition [5] and Voice [6] on which the monitoring of attendance system depends. Along with these systems there are many others system also present which are based on the web like GSM/GPRS along with Radio Frequency Identification (RFID) to monitor attendance system [7]. But this kind of attendance monitoring system is quite expensive and has limited use.…”

Section: Background Studymentioning

confidence: 99%

Speech Identification using GFCC, Additive White Gaussian Noise (AWGN) and Wavelet Filter

Arora¹,

Neeru²

2016

IJCA

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This paper deals with the identification of speakers identity from the given set of values of speech from the database. The major problem during the identification of speech is noisy environment which degrades the system performance during its mismatch. So one can say identification using speaker recognition is the vital issue in research. This paper tells about the various used techniques like GFCC i.e. Gamma tone Frequency Cepstral Coefficients as its speech detection algorithm and Gaussian Mixture Model (GMM) to estimate the Gaussian model parameters. This paper basically focuses on improvement of speech identification in noisy environment using Wavelet filter which are added to de-noise the speech signals. These techniques are applied on store value of databases in Attendance system application. and the features of the speech are then matched from the database. Experiment are done 15 speech values saying phrases "Present Mam","Present sir","Yes mam","Yes sir"with 4 types of utterance for each phase. This Experiment shows better results for stored database oriented system and gives 85% of the correct recognition rate i.e. CORR and 73% results are given when wavelet filter are not used .

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“…After confirming individual finger print identification individual RFID card will be activated to use in the campus which again will be deactivated once the individual leaves the campus. As concluded by Ansari et al (2011) that double verification will allow avoiding cheating to the system by mishandling of RFID cards.…”

Section: Implementation Of Finger Printmentioning

confidence: 99%

“…RFID provide a means of effecting business transactions in a flexible, secure, standard way with minimal human intervention. Ansari et al (2011) report that radio waves are used for communication between RFID tag and reader; therefore no wires or line of sight is required. An RFID chip with an antenna is embedded in any physical object called RFID tag which can be read/write by a RFID reader/writer.…”

Section: Introductionmentioning

confidence: 99%

Integrating Radio Frequency Identification Technology in Academic Management System

Mirza¹,

Brohi²

2014

Journal of Computer Science

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The purpose of this study is building a web and windows based intelligent system using web technologies, biometric and Radio Frequency Identification technologies (RFID) to strengthen an Academic Management System (AMS) in a campus for monitoring and improving academic performance of teachers and students. A campus mobile phone application will allow guardians to monitor student's movement history at campus, e-payments and food choices at canteen, class attendance, exam attendance and academic performance on daily basis. Mobile application for students will allow students to view their class schedules, teacher appointments, e-payment statement, warnings or announcements, locate their exam halls and search for classrooms.

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Automation of attendance system using RFID, biometrics, GSM Modem with .Net framework

Cited by 21 publications

References 3 publications

Development of A Multi-Client Student Attendance Monitoring System

Development of A Multi-Client Student Attendance Monitoring System

Speech Identification using GFCC, Additive White Gaussian Noise (AWGN) and Wavelet Filter

Integrating Radio Frequency Identification Technology in Academic Management System

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