Our novel end-to-end Deepmasknet model automatically extracts the most discriminating features for reliable face mask detection and masked facial recognition.
A novel DeepMaskNet model for face mask detection and masked facial ...
pubmed.ncbi.nlm.nih.gov › ...
Thus, introduces an urgent need to develop a robust system capable of detecting the people not wearing the face masks and recognizing different persons while ...
A Convolutional Neural Network based face mask recognition system, which offers two solutions—recognition of the person wearing face mask and position of ...
In this paper, we propose a novel DeepMasknet framework capable of both the face mask detection and masked facial recognition. Moreover, presently there is an ...
Thus, introduces an urgent need to develop a robust system capable of detecting the people not wearing the face masks and recognizing different persons while ...
People also ask
What algorithm is used in face mask detection?
Does facial recognition work with a mask?
Can masks hide your identity?
What was the purpose of the face mask?
Dec 9, 2024 · University of Engineering and Technology Researchers Describe New Findings in COVID-19 (A novel DeepMaskNet model for face mask detection ...
Jul 2, 2023 · Ullah et al. [33] proposed a novel DeepMaskNet model that detects face masks and performs masked face recognition. Teboulbiat et al. [34] ...
A novel DeepMaskNet model for face mask detection and masked facial recognition · Ensure the Proper Wearing of Face Masks Using Machine Learning to Fight Covid- ...
A novel deep learning model for medical face mask detection. The model can help governments to prevent the COVID-19 transmission.
Missing: facial | Show results with:facial
In this study, we aimed to find an optimized approach to improving facial and masked facial recognition using machine learning and deep learning techniques.