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Efficient Face Mask Detection For Different Surveillance Applications Using Python

In this paper, the application of face mask detection for tracking has been explored. This model can be used for data collection and its interpretation. The proposed scheme has been designed to detect between a masked and a non-masked person with the help of python. This proposed system requires an inbuilt webcam and operating system of Windows 10 version or higher. Furthermore, the scheme may find applications in the video surveillance system. The model is validated by TensorFlow, MobileNet, and the Transfer Learning platform.