Real-Time Mask Detection System

This project is a Real-Time Mask Detection System that classifies whether a person is wearing a mask correctly, wearing it improperly, or not wearing a mask at all using Convolutional Neural Networks (CNNs). It leverages computer vision techniques to ensure public safety and health.

Files Overview

1. main.py

   • This is the core file of the project. It contains the implementation of the CNN model for mask detection.
   • It includes data preprocessing, model architecture, training, and evaluation logic.
   • It also classifies images in real-time to detect mask status.

2. upload.py

   • This script handles the uploading and preprocessing of new images for classification.
   • It ensures that images are resized and normalized before being fed into the model for prediction.
   • It facilitates testing the model on custom images.

3. setup.bat

   • A batch script to automate the setup process.
   • It installs all required dependencies and sets up the environment for running the project smoothly.
   • Simply run this file to get started with the project without any hassle.

Author

• Priyank Fichadiya
  Computer Engineer passionate about developing intelligent systems that enhance user experiences. visit https://priyankvision.vercel.app/ for more info

How to Run

1. Run setup.bat to install necessary dependencies.
2. Execute main.py to train and evaluate the model.
3. Use upload.py to test custom images for mask detection.

This project is a step towards ensuring public health safety with AI-powered mask detection. Happy coding!