Smart Attendance with IoT Alert
In today’s digital world, digital images and video are playing an increasingly important role. Thanks to advances in computing and telecommunications, human faces are becoming an increasingly important biometric object within the surveillance systems. However, finding and locating a human face or facial feature, especially in a dynamic environment such as a video, can be a challenge due to the noise, illumination, subject location, and pose variation across frames. We’ve developed an automated system specifically designed for educational institutions. It’s aptly named, "Facial Recognition for Attendance Marking," and it’s designed to make your attendance marking process easier for employees and students. This practical solution integrates seamlessly into your daily personnel management. It goes beyond the traditional attendance methods and allows you to identify and record multiple individuals at once.
Authors
- R Nithishkumar
- S. Srinivasan (ORCID: https://orcid.org/0000-0002-1639-1507)
- G. Ramya (ORCID: https://orcid.org/0000-0001-9168-2059)
- G Pragatheeswari
- Adhil Ameer T
Institutions
- SRM Institute of Science and Technology (IN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/i3ceet61722.2024.10993962
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00