This project was supposed to be a 1 piece of code (main.py) that did everything
now its 2: lanywrd pulls an image and user data from an api over wifi streetpass listens and broadcasts from espnow to identify others nearby and log through the API who you passed by
The idea was a smart lanyard that would track your interactions throughout an event
simply it connects to the wifi network using the WIFI_PASSWORD and WIFI_SSID parameters at the top of the file
Then it sends get requests to the api for:
- an image
- a photo
- a job title
finally it decodes the image and displays it on the screen
first it performs the same connection script as lanyyard, but then starts a apir of async functions, 1 constantly broadcasts the username (at the top of the file) and one constantly listens for a transmission.
Once a transmission is heard, it is then checked against a set of previous encounters and, if it is new, it is sent to the API and logged in the users table to track encounters centrally for later viewing, to see who you met that day
The api as a node.js file To add users to the api, simply add entries to the users table at the top of main.js.
WARNING: The storage is not persistent, so when restarted all interactions will be lost
also add a 64x64 image linking the name to that table entry, you can make one by running helper.py locally
A simple fix for the lack of space it to add storage to cache image files for displaying, instant fix
A solution that doesn't take extra hard ware would be hosting the files as bmp and passing it directly to lvgl, apparently this is possible without creating a seperate buffer, saving enough space to get everything to work I could not get this to work, the documentation is non-existent