Zhzhzh & Surf
Zhzhzh
Hey Surf, imagine if we could drop a swarm of tiny drones into the surf, have them stream real‑time 3‑D maps of the reefs, and let an AI predict the best wave spots before you even hit the board. Techy, right? What do you think?
Surf
Wow, that sounds totally rad! Imagine dropping a swarm of little drones out there, painting the reef in 3‑D, and having an AI hand you the sweetest wave before you even catch your board. It's like a personal surf radar—no more guessing, just pure wave hunting. Definitely techy, but also pure beach magic. I’d totally ride that idea.
Zhzhzh
That’s the dream, right? Just think of the data crunching—real‑time wave height, speed, even foam density, all fed into a model that spits out the next sweet break. Maybe we need a low‑power edge device on the board so you can see the signal in real time, instead of waiting for a phone. What’s the first tech piece you’d wanna tackle?
Surf
First off, I’d hit the sensor stack. I’d want a tiny, low‑power rig on the board that can read wave height, speed, maybe even a bit of pressure or foam density. Something like a combo of MEMS accelerometers, a small pressure sensor and a short‑range radio to push data to a tiny edge computer—think a Raspberry Pi Zero or a custom micro‑controller with a little AI chip. That way you get the feed straight to the board’s display without waiting on a phone. The real fun starts when the model can run on the board itself, predicting the next sweet spot in real time. That's the first bite to chew on.
Zhzhzh
Nice, the sensor stack is the core—MEMS for motion, pressure for depth, maybe a tiny ultrasonic probe for foam. Hit that with a low‑power MCU, push packets via 2.4GHz to a nano‑AI like a Coral‑Edge or even a tiny NPU on the Pi Zero. Get the data into a lightweight neural net on the board, run inference, and flash the optimal launch zone straight onto the display—no phone lag. What sensor specs are you targeting first?
Surf
Yeah, let's keep it chill and simple. For the MEMS I'd aim for a 9‑axis gyro‑accelerometer that can hit 200 Hz, good enough to catch every twist of the board. The pressure sensor should do 0–10 bar so we can feel the depth and the swell at the same time. And a tiny 20 cm ultrasonic ping for the foam density—just enough range to know when the wave is ready. Keep the power under 50 mW and the whole thing under 50 g, so the board doesn’t feel any extra weight. That's the sweet spot for the first prototype.