Attendance Monitoring Using Deep Learning

Author(s)	S. Manasa, P. Arun Kumar, B. Aadhi, S. Nabi Rasool, B.V. Hari Pratap Reddy
Country	India
Abstract	In this activity, we advocate a device for printing direct participation in organizational problems. This device lets in students to obviously understand their participation styles. When a scholar enters the camera module, the system robotically acknowledges the scholar primarily based on facial popularity methods. Then, after the affirmation, it straight away updates its participation at the server. The article presents a detailed rationalization of each the simple structure and methods of all models. In addition to picture enhancement and magnification, the pc makes use of multi-channel capabilities to seize and understand images even in cloudy and poorly lit areas. The task additionally proposes a way to manipulate college students' ability to serve once a day. In terms of time savings and well-matched records sets, live participation structures are considerably more efficient than traditional participation structures.
Field	Engineering
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-04-16
Cite This	Attendance Monitoring Using Deep Learning - S. Manasa, P. Arun Kumar, B. Aadhi, S. Nabi Rasool, B.V. Hari Pratap Reddy - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3816
DOI	https://doi.org/10.71097/IJSAT.v16.i2.3816
Short DOI	https://doi.org/g9f2gw

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology