Remote-infrared-thermometer- | Contactless infrared thermomter for Covid-19 epidemic

by zeyuan-song0204 C++ Version: V1.2 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Remote-infrared-thermometer- Summary

Remote-infrared-thermometer- is a C++ library typically used in Internet of Things (IoT), Raspberry Pi applications. Remote-infrared-thermometer- has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

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.

Support

Quality

Security

License

Reuse

Support

Remote-infrared-thermometer- has a low active ecosystem.

It has 5 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 13 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Remote-infrared-thermometer- is V1.2

Quality

Remote-infrared-thermometer- has no bugs reported.

Security

Remote-infrared-thermometer- has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Remote-infrared-thermometer- is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Remote-infrared-thermometer- releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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Remote-infrared-thermometer- Key Features

No Key Features are available at this moment for Remote-infrared-thermometer-.

Remote-infrared-thermometer- Examples and Code Snippets

Prerequisites,Install WiringPi Lib

C++

Lines of Code : 10

License : Permissive (MIT)

Copy

sudo apt-get install git-core

sudo apt-get update

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

cd wiringPi

./build

gpio -v

Prerequisites,Run Final Code

C++

Lines of Code : 9

License : Permissive (MIT)

Copy

mkdir build

cd build

cmake ..

make

./face_detection

Prerequisites,AMG8833 installation and test

C++

Lines of Code : 3

License : Permissive (MIT)

Copy

sudo pip3 install adafruit-circuitpython-amg88xx

sudo raspi-config

sudo i2cdetect -y 1

Community Discussions

Trending Discussions on Internet of Things (IoT)

Display data from two json files in react native

QUESTION

Display data from two json files in react native

Asked 2020-May-17 at 23:55

I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

...

ANSWER

Answered 2020-May-17 at 23:55

The new object to get params in React Navigation 5 is:

Source https://stackoverflow.com/questions/61859411

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Remote-infrared-thermometer-

:running:Zeyuan Song(2605623s):running:Weinan Wang(2583409w):running:Yufei Liu(2572166l).
Enable the Camera Interface.
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
1.Python Installation of AMG88xx Library. 2.Open i2c interface from Pi.
Pi 3V3 to sensor VIN
Pi GND to sensor GND
Pi SCL to sensor SCL
Pi SDA to sensor SDA