Self Organising LEDs
This project uses an esp32 board to drive a string of WS2118 LEDs. It uses some basic image processing to detect where the LEDs are so that you can display geometric patterns even if the LEDs are not arranged in a grid.
If you have an espcam then you can just follow the instructions on the Setup section. On first boot the espcam will try and calibrate the LED positions.
Once calibrated these are stored in nvram. If you need to recalibrate just navigate to the web interface: http://espcam.local and hit the calibrate button.
If you do not have an ESP-CAM and want to use your phone for calibration then you will need to jump through some hoops.
You cannot access the phone's camera unless you are using https - currently the webserver that I am using only supports http.
To get an https connection I would suggest using ngrok - https://ngrok.com/.
You can create an https tunnel on your computer to the esp32 device. I would recommend using the ip address.
Do something like:
ping espcam.local
And take a note of the ip-address. Then do:
ngrok http IP_ADDRESS
This will create an https endpoint in the cloud that you can use to access the esp32 securely.
You will need a steady hand or a tripod as the calibration takes about 20-30 seconds depending on how many LEDs you have.
Setup
You will need python3, node and yarn installed.
Create a virtual environment, activate it and install the requirements using:
python3 -m venv venv
source ./venv/bin/activate
pip install -r requirements.txt
Create a file WifiCredentials.h in the firmware/src and populate it with your wifi SSID and PASSWORD:
#define SSID "<SSID>"
#define PASSWORD "<PASSWORD>"
In main.cpp update the defines for the number of LEDs you have and if you have an ESP-CAM or a normal ESP32 board.
#define LED_COUNT 100
#define CAMERA_ENABLED 1
You can now use the Makefile to build the firmware, frontend and upload them to your device.
make upload