PRINT (ISSN) 2319-1783
ONLINE (ISSN) 2320-1126
ONLINE (ISSN) 2320-1126
Mohammed Zainul Hussain1, Mohammed Arbaaz Saber2, Shraddha Raikote3, Priyanshu Pratik4
This research paper introduces a cutting-edge solution for Work Place Management systems by integrating face recognition, Geo-fencing, and block-chain technologies. The research paper presents a cross-platform mobile application using Flutter, providing accessibility across diverse user bases. The study addresses the limitations of traditional Work place tracking methods and aims to enhance accuracy, security, and transparency. Emphasizing the synergistic benefits of the Block-Chain, Face-Recognition, Geo-Fence technologies. The paper concludes with a summary of key contributions and suggestions for future research, highlighting the significance of this innovative approach to Work place management.
https://doi.org/10.62226/ijarst20241349
PAGES : 1333-1338 | 4 VIEWS | 3 DOWNLOADS
Mohammed Zainul Hussain1, Mohammed Arbaaz Saber2, Shraddha Raikote3, Priyanshu Pratik4 | Block-Chain Based Work Place Management System Using Face-Recognition and Geo-Location | DOI : https://doi.org/10.62226/ijarst20241349
| Journal Frequency: | ISSN 2320-1126, Monthly | |
| Paper Submission: | Throughout the month | |
| Acceptance Notification: | Within 6 days | |
| Subject Areas: | Engineering, Science & Technology | |
| Publishing Model: | Open Access | |
| Publication Fee: | USD 60 USD 50 | |
| Publication Impact Factor: | 6.76 | |
| Certificate Delivery: | Digital |
IJARST aims to drive the costs of publishing down, while improving the overall publishing experience, and providing authors with a publication venue suitable for the 21st Century.
IJARST brings an exciting model of eco friendly scientific dissemination. Editors & Reviewers can Apply now to be part of the IJARST editorial initiative.
© 2022 IJARST | Public user content licensed CC BY 4.0 unless otherwise specified.
