waltonca/birdfeeder

This is one of our group project in work term.

Bird Feeder - Dashboard

Bird Feeder is a small project for our IT project work term. It contains iOT device side and Web Server side. On the iOT device side, we use one outside Raspberry Pi to collect different kind of data, like: image of bird, temperature, humidity, light, etc. and send these data to MQTT Broker. We also have another inside Raspberry Pi connected to the TV monitor. We run a Web Server on this Pi and use it to deploy our web application - Dashboard.

In this document, we will only introduce the Dashboard part of this project.

Keywords

MQTT, Raspberry Pi, Web Server, Web Application, Dashboard, iOT, Python, JavaScript, HTML, CSS, etc.

Project Structure

NodejsAPISave # Nodejs API Server
├──  api.js # read images from our AI processed folder and send them to the web server 
├──  main.js # connect to MQTT Broker and save image to the local folder 
├──  run.js # run api.js and main.js
WebServer # Dashboard Web Server
├── static    # static files
│   ├── css
        └── style.css # main css file
│   └── images
│   └── js
        └── bundle.js # main js file
├── templates # html templates
├── runWebServer.py # run web server

Usage

Step 1

run the following command to start the Nodejs API Server and save images from MQTT Broker:

node run.js

Then we can access the API Server through the following URL:

http://localhost:3000/api/images

Step 2

Our web server use Flask as the framework. To run the web server, you need to install Flask first, and then run the following command:

python3 runWebServer.py

Then we can access the web server through the following URL:

http://localhost:80/

License

MIT