Face mask detection | Python project | Deep learning

Описание: 🎥 Real-Time Face Mask Detection Using Python, TensorFlow, Keras & OpenCV

Welcome to this project demonstration! In this video, I showcase a real-time face mask detection system built using deep learning and computer vision techniques.

🧠 Project Overview:
This system detects whether a person is wearing a face mask or not by analyzing live webcam video feed. It uses a convolutional neural network (CNN) trained on images of people with and without masks to make accurate predictions.

📌 Features:
✔️ Real-time face detection
✔️ Mask / No Mask classification
✔️ 98%+ model accuracy
✔️ Smooth detection with OpenCV and TensorFlow
✔️ Ideal for offices, schools, malls & public entry points

🔧 Technologies Used:
Python
TensorFlow
Keras
OpenCV
NumPy
Scikit-learn
Matplotlib

📈 Model Training Stats:
10 Epochs
Training Accuracy: 98%+
Validation Accuracy: 94%+

🖥️ How It Works:
1. The system captures live video via webcam
2. Detects faces in each frame using OpenCV
3. Applies the trained CNN model to classify each face as 'Mask' or 'No Mask'
4. Displays results in real time

🎯 Applications:
Workplace safety checks
Educational institutions
Hospitals & Clinics
Publ
ic transportation monitoring

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📩 For collaborations or queries:
📧 [[email protected]]
🔗 Connect with me on LinkedIn:[Likhitha gonapa]

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