Precise Integrated Contactless Attendance Tracking, Recording and Analyzing System
19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-1932065
ABSTRACT
Managing employee attendance is a key factor for a large organization since the staff is the main resource for them. In Sri Lanka, currently, there are various methods used to track the attendance of employees, and the traditional manually assigning paper-based signature mechanism, fingerprint method, card strap Radio Frequency Identification (RFID), and biometric-based attendance recording systems such as fingerprint recognition methods are generally used. Most of the systems offer either one-way or two-way authentication for recording the attendance.In this project, we aim to upgrade the customary used individual authentication systems into a single, integrated contactless and biometric-based identity system. To achieve this, a facial recognition mechanism along with the card strap of RFID and fingerprint authentication mechanism(optional) are combined into a singular attendance managing system which can provide the flexibility to use multi-optional biometric identification methods to verify one's identity and mark their attendance. To address the Covid 19 pandemic situation, the system is also equipped with a contactless InfraRed (IR) thermal sensor to detect the temperature of each employee before they mark attendance. As a result, it automates the manual temperature monitoring method of employees without the involvement of another person. The resultant attendance is recorded data in a cloud service platform (Amazon Web Services(AWS)) in real-Time and later analyze the stored attendance data using a Database platform. Due to the high secureness of the system, unethical activities conducted by employees when marking attendance can be avoided thus increasing the performance of the organization in the long-Term run. © 2022 IEEE.
Facial Recognition; Finger-print Detection; RFID; Thermal Detector; Authentication; Biometrics; Face recognition; Palmprint recognition; Radio frequency identification (RFID); Web services; Analyzing system; Contact less; Finger print; Key factors; Radio-frequency-identification; Recording systems; Thermal detectors; Tracking system; Personnel
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022
Year:
2022
Document Type:
Article
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