Design for COVID-19 safety

                   

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About The Project

Contactless infrared thermomter System for Covid-19 epidemic prevention and control.It can be applied in airport or train entrance as a security check during covid-19 epidemic.If it detect a person whose body temperature is above 37.5℃ which cause the red light on and buzzer ringing,then the person cann't allowd to get in the public transportation. This design aim to decline the number of virus carriers appear in public palace and reduce the spread of virus.

Build with

🏃Zeyuan Song

Hardware

• Raspberry Pi 4 B
• CSI Infraed Camera Module
• LED Traffic Light
• Buzzer Module
• Thermal Imager(GY-AMG8833)
• GPIO extender

Prerequisites

OpenCV is definitely needed to installed on Raspberry Pi.The version used for this project is 4.1.0.WiringPi is a basic library to applied on GPIO control functions.Adafruit_Blinka library provides the CircuitPython support in Python.This may alsp need to enabling I2C on Pi platform.And AMG88xx library supports AMG8833 sensor.

Camera installation and test

Enable the Camera Interface

   sudo raspi-config

Test camera

   raspistill -o Desktop/image.jpg -w 500 -h 500

Installation OpenCV

• cmake
  

   sudo apt-get install cmake

• openCV-4.1.0
  1.update raspbian and Increase the swap-size

     sudo apt-get update && sudo apt-get upgrade && sudo rpi-update
     sudo nano /etc/dphys-swapfile
     #CONF_SWAPSIZE=100
     CONF_SWAPSIZE=2048
  

  2.Install tools and libraries for openCV

     sudo apt-get install build-essential cmake pkg-config
     sudo apt-get install libjpeg-dev libtiff5-dev libjasper-dev libpng12-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 libgtk2.0-dev libgtk-3-dev
     sudo apt-get install libatlas-base-dev gfortran
  

  3.Get source code

     wget -O opencv.zip https://github.com/opencv/opencv/archive/4.1.0.zip
     wget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/4.1.0.zip
     unzip opencv.zip
     unzip opencv_contrib.zip
  

  4.Compile openCV

     cd ~/opencv-4.1.0/
     mkdir build
     cd build
     cmake -D CMAKE_BUILD_TYPE=RELEASE \
      -D CMAKE_INSTALL_PREFIX=/usr/local \
      -D INSTALL_PYTHON_EXAMPLES=ON \
      -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-4.1.0/modules \
      -D BUILD_EXAMPLES=ON ..
  

  5.Build and Install openCV

     make -j4
     sudo make install && sudo ldconfig
  

  6.Run face detection and result shows below
      
  

AMG8833 installation and test

    

• Pi 3V3 to sensor VIN
• Pi GND to sensor GND
• Pi SCL to sensor SCL
• Pi SDA to sensor SDA

1.Python Installation of AMG88xx Library

sudo pip3 install adafruit-circuitpython-amg88xx

2.Open i2c interface from Pi

sudo raspi-config

3.Interface Options--->I2C--->Enable

sudo i2cdetect -y 1

    
Open i2C complete!

4.Run the Amg8833 test code and result bellow

Install WiringPi Lib

1.Install wiringPi

sudo apt-get install git-core

sudo apt-get update

git clone git://git.drogon.net/wiringPi

cd wiringPi

./build

2.check

gpio -v

Run Final Code

mkdir build

cd build

cmake ..

make

./face_detection

License

Project is distributed under MIT License

Contact

Zeyuan Song - 2605623s@student.gla.ac.uk

Project Link: https://github.com/zeyuan-song0204/Remote-infrared-thermometer-