This project focuses on detecting the status of face mask usage in real-time using the YOLOv10s model. The system classifies individuals into three categories: With Mask – Properly wearing a face mask ...

Abstract: 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 ...

• We describe an effective face mask-based facial image classification system using a MobileNet-based deep learning model with a Depthwise separable convolution approach.

Using Depthwise Separable Convolutions with MobileNet data, we provide a method for mask detection-driven face picture classification that is both fast and accurate, as demonstrated in this work.

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