A Wireless Fingerpring Attendance System

Patil, Pratima; Khachane, Ajit; Purohit, Vijay

doi:10.5121/ijsptm.2016.5402

Cited by 7 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [18] the encryption is utilized. An attendance system based on wireless fingerprints was suggested by Pratima Patil et al [19]. Their research indicates that this method is superior to the previous manual paper-based attendance system.…”

Section: Unnati Et Almentioning

confidence: 99%

Analysis of Sindh School Monitoring System Smartphone App of Government Schools of Sindh

Halepoto,

Kaleem Ghori,

Fayaz Ahmed Memon

et al. 2023

SJCMS

View full text Add to dashboard Cite

The attendance of employees is crucial in both public and private organizations as it indicates their dedication. In the schools of Government of Sindh the monitoring of attendance of teachers has become increasingly challenging, for that, the Government of Sindh has introduced an android based smart phone app called the Sindh School Monitoring Management System (SSMS app) in April 2016 to collect, analyze and disseminate the real-time data regarding school, teachers and students. The app was implemented in 15 districts in the first phase and has since been expanded to cover the entire province, resulting in improved teachers attendance, education quality and school monitoring at government schools. Previously, attendance was tracked manually, which was not secured and had flaws such as teachers not adhering to policy for signature, timing and signing in advance. While the SSMS app has improved the performance, it still faces implementation and design challenges. This research examines the SSMS app in detail, highlighting its weaknesses and aiming to improve its efficiency through a questionnaire designed with input from experts. An analysis is presented based on the feedback of monitoring assistants (MAs) on the indicators such as teacher’s attendance, punctuality, multi modal representation of SSMS, monitoring, data collection, data loading, data fetching.

show abstract

Section: Unnati Et Almentioning

confidence: 99%

Analysis of Sindh School Monitoring System Smartphone App of Government Schools of Sindh

Halepoto,

Kaleem Ghori,

Fayaz Ahmed Memon

et al. 2023

SJCMS

View full text Add to dashboard Cite

show abstract

“…Biometrics technology can help overcome these issues, and a proposed fingerprint-based attendance system would be perfect for use in colleges for identification and by businesses for employee attendance tracking [4]. Biometric technology identifies a person as a unique individual based on physiological or behavioural traits [5].…”

Section: Related Workmentioning

confidence: 99%

Development of Attendance Monitoring System with Artificial Intelligence Optimization in Cloud

Naen¹,

Adnan²,

Yazi³

et al. 2021

International Journal of Artificial Intelligence

View full text Add to dashboard Cite

The creation of an attendance management system based on biometrics is proposed in this research. Keeping track of student attendance during lecture periods has proven to be a difficult task. Because human calculating creates errors and wastes a lot of time, the capacity to compute the attendance percentage becomes a key challenge. For this reason, a biometric-based attendance management system is being developed. This system uses a fingerprint device to take attendance electronically, and the attendance records are kept in a database. Following student identification, attendance is recorded. Artificial intelligence is also proposed as a component of the system. The system will aid in the reduction of errors and the more effective compilation of attendance data.

show abstract

“…al [6] conducted a study entitled "A Wireless Fingerprint Attendance System" which combines fingerprint authentication with the process of attendance management and thus forming a novel "automatic attendance management technique". It comprises of three processes namely; enrollment, attendance and reporting.…”

Section: Related Workmentioning

confidence: 99%

Machine Learning Biometric Attendance System using Fingerprint Fuzzy Vault Scheme Algorithm and Multi-Task Convolution Neural Network Face Recognition Algorithm

Cerna¹,

Abas²,

Gebreziagbher³

et al. 2018

IJCA

View full text Add to dashboard Cite

In many higher education institutions in particular in Africa including Ethiopia proper attendance monitoring is a very important criteria in providing quality to promote student satisfaction. Biometric technology offers an advanced verification for employees used in most schools and companies. A prototype using biometric technology has been proposed to facilitate the recording of the employees' attendance and generate automatically the payroll The prototype utilize Adafruit Fingerprint Fuzzy Vault scheme algorithm through Raspberry Pi 3, Pi Camera for face detection and recognition using Multi-task Convolution Neural Network (MTCNN) Method and output simulated through MATLAB respectively. A user interface module was develop using Visual Basic where fingerprint and face registration is done and during logging with the prototype. The resulting prototype was tested in the non-academic staff of Federal TVET Institute, an institute of higher learning specializing Technical Vocational Education and Training (TVET) offering both undergraduate and postgraduate program in Addis Ababa, Ethiopia.

show abstract

A Wireless Fingerpring Attendance System

Cited by 7 publications

References 3 publications

Analysis of Sindh School Monitoring System Smartphone App of Government Schools of Sindh

Analysis of Sindh School Monitoring System Smartphone App of Government Schools of Sindh

Development of Attendance Monitoring System with Artificial Intelligence Optimization in Cloud

Machine Learning Biometric Attendance System using Fingerprint Fuzzy Vault Scheme Algorithm and Multi-Task Convolution Neural Network Face Recognition Algorithm

Contact Info

Product

Resources

About