Sensor data streaming with Arduino in python by plotly dash
Sensor data streaming with Arduino in python by plotly dash
Published 12/2022
Duration: 05:08:22 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.24 GB
Genre: eLearning | Language: English
Published 12/2022
Duration: 05:08:22 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.24 GB
Genre: eLearning | Language: English
Insert sensor data in database, stream sensor data, real time sensor data in python plotly dash, sensor data analytics.
What you'll learn
Importing and reading sensor data in python and saving in csv and excel file
Inserting and retrieving sensors data in Google big query database
Python library plotly dash
Stream sensors data in python plotly dash application in real time
Deploy python plotly dash application on Google cloud server
Requirements
Basic knowledge of Python programming language.
Basic knowledge of Plotly Dash library.
Basic knowledge of CSS.
Basic knowledge to write the code in Arduino IDE, create circuit diagrams and read sensor values in serial monitors.
Google cloud platform account.
Description
In this course you will learn how to insert sensor data in the database and stream the data in real time in a python application. You will learn here how to create a user interface using the python library plotly dash and deploy the application on a cloud server to view data in real time. I have used DHT22 and MQ-135 sensors to measure temperature, humidity and level of carbon dioxide in the inside room and outside atmosphere. I have used the microcontroller Arduino and generated the data after each 5 seconds and then inserted the same time in the database. And then created the application in python using plotly dash application to retrieve data in this application and stream that data in real time. You will learn step by step how to use this application and how to create multi page and update data automatically over the selected period of time without refreshing the page.
After learning this course, you will be able to create your own application e.g. you can use different gas sensors, smoke sensors in your home to record data and after inserting in the database, you can monitor your house in your mobile and overcome any risks within time by creating your own application.
Who this course is for:
This course is for those who want to build their own real time data applications and IOT applications.
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