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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
Masked Face Recognition With Deep Neural Networks And IoT Integration
Authors
C. Kalpana, Charumathi, Gajjarapu Navya Nikitha, G Savundarya
Keywords
Masked Facial Recognition, Deep Neural Network (DNN), Face Net, Internet of Things Integration, Transfer Learning, Real-time Tracking.
Abstract
The widespread use of face masks has challenged traditional facial recognition systems, which depend on unobstructed facial features. This paper proposes a Masked Facial Recognition system using a Deep Neural Network-based FaceNet model integrated with IoT technologies for accurate identification and real- time location tracking. By training on diverse masked and unmasked datasets and employing transfer learning, the model achieves efficiency and robustness. IoT devices like cameras and GPS modules enable real-time data collection and seamless tracking in dynamic settings. The system adapts to different occlusion patterns by focusing on visible facial regions while ensuring privacy compliance. Experimental results show superior accuracy and responsiveness, making it suitable for applications like smart cities, healthcare, and secure access control.
IJCRT's Publication Details
Unique Identification Number - IJCRT2501771
Paper ID - 276444
Page Number(s) - g688-g692
Pubished in - Volume 13 | Issue 1 | January 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
C. Kalpana, Charumathi, Gajjarapu Navya Nikitha, G Savundarya, "Masked Face Recognition With Deep Neural Networks And IoT Integration", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 1, pp.g688-g692, January 2025, Available at :http://www.ijcrt.org/papers/IJCRT2501771.pdf
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Volume 14 | Issue 3
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Volume 14 | Issue 3
Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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