The Face Mask Detection Project With Code, Documents And video Tutorial
The Face Mask Detection Project utilizes computer vision and deep learning techniques to detect whether individuals are wearing face masks. The project employs convolutional neural networks (CNNs) to analyze images or video streams and classify detected faces as masked or unmasked. This project has applications in public health surveillance, security and access control, and smart retail and marketing.
Keywords: Face Mask Detection, Computer Vision, Deep Learning, Convolutional Neural Networks (CNNs), Public Health Surveillance, Security and Access Control
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