Face Mask Detection Project made using HaarCascade frontal face detection classifier, OpenCV & Tensorflow in Python.

An AI model to detect if people are following social distancing & wearing masks for safety.

Face Mask Detection system both on image and video based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Determines whether a specific user is wearing a face mask or not using a 2-factor approach written in Python with TensorFlow and OpenCV modules. Includes a Google Colab notebook tutorial and code for real-time detection using OpenCV.

COVID-19 Face Mask Detection

This is a face mask detection system that checks when someone is wearing a mask and if not the system will produce a voice output that informs the person to wear His/Her mask

Maskd (Face Mask Detection system) built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams.

Face Mask Detection Platform is used to recognize if a user is not wearing a mask. The system can be connected to cameras to detect people without a mask. System users can also add faces to send them an alert in case they are not wearing a mask.

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.

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Face mask detection is a deep learning task that involves developing models to identify whether a person in an image or video is wearing a face mask or not.