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Real-time face mask detection systems use computer vision and deep learning to identify if individuals in a live video feed are wearing protective masks. As of late 2025, these systems are highly optimized for efficiency, allowing them to run on low-resource hardware like CCTV cameras and phone.
A deep learning project using TensorFlow and OpenCV to detect face masks in real-time. Utilizes a Convolutional Neural Network (CNN) to classify images as mask-wearing or non-mask-wearing. 🧠📸
This is a simple image classification project trained on the top of Keras/Tensorflow API with MobileNetV2 deep neural network architecture having weights considered as pre-trained 'imagenet' weights. The trained model (mask-detector-model.h5) takes the real-time video from webcam as an input and predicts if the face landmarks in Region of Intere…
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 study confides in Face Mask Detection utilizing Convolutional Neural Network. In this review, a framework will be planned that will recognize facial covering.
The aim of this project is to avoid the spread of the covid-19 virus and protect people. The face mask detector detects whether a person is wearing a face mask or not.
In this Project Person with Face Mask detect. If a person wears a face mask then it allowed a person to the office otherwise it generates a warning message and sends it to the authority's email addresses.