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MaskAlert: Realtime Alarm-Based Face Mask Detection System

📋 Project Description

MaskAlert is a real-time face mask detection system that uses computer vision and machine learning to identify if individuals are wearing masks. If a mask is not detected, the system triggers an alarm to enhance public safety in crowded areas.

🚀 Features

  • Real-time face mask detection using a webcam or video feed.
  • Alarm activation if no mask is detected.
  • High accuracy with a pre-trained deep learning model.
  • User-friendly interface for easy monitoring.
  • Scalable and can be integrated into existing security systems.

🛠️ Technologies Used

  • Programming Language: Python
  • Libraries: TensorFlow, OpenCV, NumPy, Flask
  • Model: Convolutional Neural Network (CNN)
  • Deployment: Local system or cloud-based options

📦 Installation Guide

  1. Clone the repository: git clone https://github.com/Sayanmaity2003/Vision-Mask-X.git

  2. Navigate to the project directory: cd Vision-Mask-X

3.Install required dependencies: pip install -r requirements.txt

  1. Run the application: python app.py

📊 Usage Run the app to start real-time detection. Monitor the video feed for mask detection alerts. Alarm sounds if a mask is not detected.

⚠️ Limitations Requires a stable camera setup for accurate detection. Detection accuracy may vary in low-light conditions.

📞 Contact For queries, reach out at: sayanmaity2003@gmail.com

If you need any adjustments, let me know! 😊

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