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A Python-based solution leveraging OpenCV for real-time face mask detection. It utilizes computer vision techniques to detect and classify whether individuals in a video stream are wearing face masks accurately. The system provides visual indicators, enabling efficient monitoring and enforcement of mask-wearing protocols.

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ManoharanS45/Face-Mask-Detection-using-Python-OpenCV

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Face-Mask-Detection-using-Python-OpenCV

A Python-based solution leveraging OpenCV for real-time face mask detection. It utilizes computer vision techniques to detect and classify whether individuals in a video stream are wearing face masks accurately. The system provides visual indicators, enabling efficient monitoring and enforcement of mask-wearing protocols.

Face Mask Detection System:

This project is used for detecting masks in the human face.

Libraries used here: Tensorflow imutils Numpy Argparse Imutils Time CV2 OS

How to run the project? Step 1: Install all the necessary libraries and import them. Step 2:Open the main.py file. Step 3: Execute and run the program

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A Python-based solution leveraging OpenCV for real-time face mask detection. It utilizes computer vision techniques to detect and classify whether individuals in a video stream are wearing face masks accurately. The system provides visual indicators, enabling efficient monitoring and enforcement of mask-wearing protocols.

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