Paper Title

Face Detection system using deep learning and CNN Algorithm

Article Identifiers

Registration ID: IJNRD_218445

Published ID: IJNRD2404613

DOI: Click Here to Get

Authors

Jai Desai , Ujwal pedhekar , Rasika Shelke , Atharva Sarode , Revati H. Ramteke,Prof. A.D. Shah

Keywords

1. Face Detection 2. Convolutional neural network 3. Deep learning 4. Facial Recognition

Abstract

Implementing a facial recognition system can help in identifying or verifying the identity of a person from a digital image. Accurate attendance records are critical to classroom assessment. However, manual attendance tracking can lead to errors, missed students, or duplicate records. The facial recognition attendance system includes facial recognition technology that recognizes Implementing a facial recognition system can help in identifying and verifies an employee's facial features and automatically records attendance. The facial liveliness detection part is based on CNN, which creates a 3D model of the detected face to distinguish between real and fake images. The attendance system is written in Python and the user interface is designed using the WebView library. The main goal of facial recognition is to identify individuals, either individually or collectively. The number of positive faces may vary depending on the technology used for face recognition. Keywords: Face Recognition Attendance System, CNN Algorithm.

How To Cite

"Face Detection system using deep learning and CNN Algorithm ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g134-g143, April-2024, Available :https://ijnrd.org/papers/IJNRD2404613.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : g134-g143

Other Publication Details

Paper Reg. ID: IJNRD_218445

Published Paper Id: IJNRD2404613

Downloads: 000121209

Research Area: Computer Engineering 

Country: Amravati , Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404613.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404613

About Publisher

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

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

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

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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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

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