https://github.com/caleb221/Simple-Pi-Fever-Detection-RM402-

I used a raspberry pi with an IR camera to build a small scale fever detection web app. Heres all the code I used to do it.
https://github.com/caleb221/Simple-Pi-Fever-Detection-RM402-

infrared-control iot nodejs raspberry-pi smartthings webapp

Last synced: about 2 months ago
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I used a raspberry pi with an IR camera to build a small scale fever detection web app. Heres all the code I used to do it.

• Host: GitHub
• URL: https://github.com/caleb221/Simple-Pi-Fever-Detection-RM402-
• Owner: caleb221
• Created: 2018-12-16T14:48:30.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-06-19T05:22:59.000Z (over 4 years ago)
• Last Synced: 2024-08-03T05:03:03.653Z (5 months ago)
• Topics: infrared-control, iot, nodejs, raspberry-pi, smartthings, webapp
• Language: HTML
• Homepage:
• Size: 829 KB
• Stars: 4
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Hello!

This is a standalone IoT (Internet of Things) web app that connects users to a live feed of an Infrared Camera.

It also attempts to take the user's temperature and inform them if they have a fever

A small scale study accompanied this project with users feedback concerning the usability of the device.

The user Simply Scans a QR Code in order to access the device. (while connected to university WiFi)

If you would like the whole paper writeup of this project including results and further discussion, I would be happy to share it, just send an email!

# Images

Raspberry Pi and Infrared Camera



Web App



Flow Chart for whole System



# Prerequisite libraries:

Python:

    -busio

     -json

    -numpy

    -scipy

    -board

    -colour

    -adafruit_amg88xx

    -glob,matplotlib (STATISTICS PROGRAM ONLY)

JavaScript:

  

  

     -express

     -socket.io

     -pyshell

  

  

Here is a basic overview to what each code does.

# SensorRandom.py

this code is the interface between sensor and raspberry pi.    

it updates a JSON file as quickly as it can (~.3ms) with the colors for the web page

as well as the diagnosis. 

(sorry about the name, its not actually random. I wrote a random data generator before I had the sensor and didn't want to clutter my file system.)

# pythonNode.js

Javascript function to run the python code sensorRandom while running the web server.

# router.js

client side server. This listens on a local port 8001 and serves the web app UI. It sends the JSON file from the pi to the user every time the file is updated (~.3ms).

# main.js

a simple main function that runs both router and pythonNode simultaneously.

# index.html

   just as the name suggests, this is the main UI for the webapp, it draws the JSON data on a canvas

   using javascript as well as shows the user their diagnosis.

# feedBack.html

Questionnaire used in a tiny reasearch project to collect user data concerning the webapp.

# feedBack_stats.py 

Statistical analysis done on feedback data for a class. Papers and whatnot are elsewhere, this is a code section.

# DISCLAIMER

THIS SETUP AS IS SHOULD NOT BE USED IN A MEDICAL SETTING! THE ALGORITHM IS FAR TOO SIMPLE (in the current state) TO BE GIVEN TO ANY MEDICAL CARE PROFESSIONAL FOR DIAGNOSIS. 

Thanks for looking at my code!

-Caleb