Raspberry Pi 4 LIDAR Data Visualization | Python, Plotly, Websockets, D3.js
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• Description:
In this video tutorial I use a Raspberry Pi 4 to read data from an inexpensive 360-degree LADR/LiDAR (YDLIDAR X4) via USB. Once I'm able to get the distance measurements, I move on to designing a web interface in Python that allows me to visualize the data in a polar chart. I use the JavaScript library D3.js/Plotly (https://plot.ly/javascript/) for the client-side chart, and the Flask web micro-framework for setting up the server side of the web app. Central to this is the use of Websockets for exchanging the LiDAR data between server and client. I use the Flask-SocketIO module for this purpose.
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• Related vids:
Set up the linux-based Raspbian Operating System: • Raspberry Pi 4 as a Linux PC
Set up Raspbian for access without a keyboard, monitor, and even a Wi-Fi connection: • Raspberry Pi 4 SSH Setup With and Wit... (complete) • Raspberry Pi 4 Headless Setup | First... (summary)
Getting Started with Websockets: • ESP8266 Web Server and Websockets Usi...
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• Project parts:
YDLIDAR X4 10m 360-degree Scanning LiDAR
https://amzn.to/2L2KZLe (affiliate)
Vilros Raspberry Pi Zero W Starter Kit:
https://amzn.to/2TBTJfw (affiliate)
SanDisk 32GB MicroSD Card:
https://amzn.to/2K49ybI (affiliate)
ACROBOTIC Raspberry Pi GPIO Label:
https://amzn.to/2Z8FTSZ (affiliate)
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• Project code:
https://github.com/acrobotic/Ai_Demos...
YDLIDAR Python module:
https://github.com/lakshmanmallidi/Py...
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• Music:
Epidemic Sound (https://epidemicsound.com). Standard YouTube License.
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#RaspberryPi #RaspberryPi4 #LADAR