Paper Title
Face Detection system using deep learning and CNN Algorithm
Article Identifiers
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.
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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 EngineeringÂ
Country: Amravati , Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404613.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404613
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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