Realtime Human Surveillance and Management System

Realtime Human Surveillance and Management System

Registration ID: IJNRD_220262

Published ID: IJNRD2405001

DOI: Click Here to Get

Akshith Rao , Dr.G.S.Bapiraju , MNVS Sai Deekshit , Kaushik Parasu , Sai Anish

The management of attendance in educational and organizational contexts can provide challenges in terms of com plexity and time allocation. Conventional approaches frequently exhibit deficiencies in precision and effectiveness, resulting in decreased productivity. In order to address these difficulties, this project suggests implementing an Automated Attendance System that utilizes advanced technologies like TensorFlow for detecting faces and AWS Rekognition for recognizing faces. The method commences by employing TensorFlow, a widely used deep learning framework, to provide precise face detection in photos obtained from educational settings or professional environments. After doing face detection, the attendance status is determined by utilizing AWS Rekognition, a cloud-based facial recognition service, which matches the discovered faces with pre-registered individuals. The system incorporates sophisticated image processing techniques, such as feature extraction, dimen sional reduction, and machine learning algorithms, to guarantee both reliability and performance. In addition, careful attention is given to addressing obstacles such as fluctuations in lighting conditions, variations in face expressions, instances of occlusion, and alterations in position. The objective of the project is to create a practical version of the Automated Attendance System and assess its effectiveness by analyzing real-world data. The evaluation measures encompass precision, velocity, scalability, and portability. The objective of this project is to improve productivity and optimize administrative operations by offering educational institutions and companies a solution for attendance management that is efficient, accurate, and scalable.

Published Paper   E-Certificate

"Realtime Human Surveillance and Management System", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.a1-a4, May-2024, Available :https://ijnrd.org/papers/IJNRD2405001.pdf

Volume 9 Issue 5, May-2024

Pages : a1-a4

Paper Reg. ID: IJNRD_220262

Published Paper Id: IJNRD2405001

Downloads: 000121134

Research Area: Computer Science & Technology 

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405001.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405001

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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