Face-Mask-Detection and tutorial-face-mask-detection
About Face-Mask-Detection
chandrikadeb7/Face-Mask-Detection
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
This project helps operations managers, security personnel, or business owners enforce mask-wearing policies in public or private spaces. It takes live video feeds or static images as input and identifies individuals who are not wearing a face mask, allowing for real-time monitoring. The output clearly labels people with or without masks, enabling prompt action to ensure compliance.
About tutorial-face-mask-detection
datarootsio/tutorial-face-mask-detection
In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.
This project helps operations managers and facility supervisors automatically check if people entering a building are wearing face masks. It takes images or video frames of people and analyzes them to detect individual faces. For each detected face, it determines whether a mask is present or not, and then outputs an annotated image showing who is unmasked.
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