🧬 Face Mask Detection using R-Pi 🧬

A Low Cost Portable Raspberry-Pi Face Mask Detector with live feed

WebPage and Hardware

Live feed Webpage

Project Flowchart

Neural Network Architecture

Getting Started

Hardware and basic setup guide.

Hardware Setup

List of Components

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

• Raspberry Pi OS

  > https://www.raspberrypi.org/software/operating-systems/

• Ethcer

  > https://www.balena.io/etcher/

• Tensorflow Lite

  > pip3 install https://dl.google.com/coral/python/tflite_runtime-2.1.0.post1-cp37-cp37m-linux_armv7l.whl

• OpenCV Dependencies

  > sudo apt-get update && sudo apt-get upgrade
  > sudo apt-get install build-essential cmake unzip pkg-config
  > sudo apt-get install libjpeg-dev libpng-dev libtiff-dev
  > sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
  > sudo apt-get install libxvidcore-dev libx264-dev
  > sudo apt-get install libgtk-3-dev
  > sudo apt-get install libcanberra-gtk*
  > sudo apt-get install libatlas-base-dev gfortran
  > sudo apt-get install python3-dev

• OpenCV 4

  > cd ~
  > wget -O opencv.zip https://github.com/opencv/opencv/archive/4.3.0.zip
  > wget -O opencv_contrib.zip
  > https://github.com/opencv/opencv_contrib/archive/4.3.0.zip unzip opencv.zip
  > unzip opencv_contrib.zip
  > mv opencv-4.0.0 opencv
  > mv opencv_contrib-4.0.0 opencv_contrib

• Numpy

  > pip3 install numpy

• CMake and compile OpenCV 4

  > cd ~/opencv
  > mkdir build
  > cd build
  > cmake -D CMAKE_BUILD_TYPE=RELEASE \-D CMAKE_INSTALL_PREFIX=/usr/local \
    -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib/modules \
    -D ENABLE_NEON=ON \
    -D ENABLE_VFPV3=ON \
    -D BUILD_TESTS=OFF \
    -D OPENCV_ENABLE_NONFREE=ON \
    -D INSTALL_PYTHON_EXAMPLES=OFF \
    -D BUILD_EXAMPLES=OFF ..
  > make -j4
  > sudo make install
  > sudo ldconfig 
  

Installation

1. Clone the repo

   > git clone git@github.com:meetdoshi90/Face-Mask-Detector.git

2. Install Requirements

   > cd rpi_based_mask_detector_new
   > pip3 install -r requirements.txt

Built With

• Python
• Flask
• Tensorflow
• OpenCV
• HTML
• CSS
• JavaScript

Live Demo

Live Demo Link

Authors

👤 Meet Doshi

• GitHub: @meetdoshi90
• LinkedIn: @meetdoshi90

👤 Shravani Dhote

🤝 Contributing

Contributions, issues, and feature requests are welcome!

Feel free to check the issues page.

Show your support

Give a ⭐️ if you like this project!

📝 License

This project is MIT licensed.