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The system seamlessly integrates a pre-trained MobileNetV2 model for swift and accurate face mask identification, employing a TensorFlow/Keras-based implementation. Additionally, a custom-trained ...
The previous work used for the detection of face mask using CNN are illustrated in Section 2. The proposed face mask and system for detecting social distance are shown in Section 3. Using a variety of ...
To recognize people who were not wearing face masks in government workplaces, Balaji et al. (13) utilized a VGG-16 CNN model developed in Keras/TensorFlow and Open-CV to detect people who were not ...
For face mask detection using keras/tensorflow, python, OpenCV and mobilenet we have used 3835 images for dataset. All images are extracted from Kaggle datasets and RMFD dataset, Bing Search API.
To tackle the situation, machine learning engineers have come up with several algorithms and techniques to identify unmasked individuals using various mask detection models. The proposed approach in ...
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