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😷 Real-Time Face Mask Detection Using Computer Vision | #GRIPJUNE21

This video demonstrates a Real-Time Face Mask Detection System using Computer Vision and Deep Learning. Developed as part of #GRIPJUNE21 internship by The Sparks Foundation, this project detects whether a person is wearing a mask or not using live webcam footage.

🎯 What’s Inside:

Face detection using OpenCV & Haar Cascades / DNN

Mask classification using a CNN model (Keras/TensorFlow)

Real-time video processing with live predictions

Alerts for "No Mask" detection (optional: buzzer, LEDs via IoT)

🛠 Technologies Used:

Python

OpenCV

TensorFlow / Keras

Pre-trained deep learning model

(Optional) IoT components like Arduino, Raspberry Pi

📈 Applications:

Public safety & COVID-19 compliance

Smart surveillance systems

Automated access control systems

Real-time crowd monitoring