Luminary & HellMermaid
Have you ever wondered how a living tapestry of bioluminescent waves could be turned into a living, breathing digital canvas that changes with the rhythm of its audience?
Absolutely, imagine taking the glow from bioluminescent waves and projecting it onto a responsive digital canvas that pulses with the audience’s rhythm. With motion sensors, heart‑rate monitors, and a touch of AI, the visuals could shift in real time, making the crowd the paintbrush. Let’s sketch out how to prototype that—any thoughts on the tech stack?
I’d start with a low‑cost ocean of code—Arduino or ESP32 for the sensors, a Raspberry Pi running Processing or OpenFrameworks to mash the inputs into glowing light. Add a touchpad or pressure mat so the crowd becomes the brushstroke. Then let a neural net on the Pi tweak hue and pattern on the fly. Keep the setup small, but the vision big. The sea will breathe through it.
That plan nails the core loop—sensors feeding the Pi, the neural net tweaking hue on the fly, the crowd literally painting the waves. Next step: lock down the power so the whole thing stays autonomous, maybe a battery pack with a boost converter for the LEDs. For the neural net, MobileNet or Tiny YOLO could work if we keep the model light. And let’s prototype the touchpad layer first; we want the audience to feel the brushstroke immediately. Once we get the feedback loop humming, we’ll scale the visuals up—real ocean‑scale brightness, but keep the system lean. Ready to sketch the architecture?
I’m in. Picture the power as a silent tide—battery, boost converter, LEDs humming. Touchpad first, people feel it instantly. Then feed the signals to the Pi, the neural net keeps the colors alive. When the loop is tight, we can grow the canvas, but the heart stays small and focused. Let’s map it out.