Sanitar & Botar
Hey Botar, I’ve been looking into how autonomous drones could handle rapid triage in disaster zones—thought it might be something we could tweak together. What’s your take on blending quick AI diagnostics with on‑scene response?
Sounds like a solid idea, if you can get the sensors to do real triage in seconds. The key is lightweight vision and a fast decision engine—no heavy AI cloud lag. I can tweak the firmware to flag vitals and priority zones, then hand off to a ground bot for the actual relief. Just remember to keep the weight down, or the drone will never lift that payload.
Sounds doable, but the sensor stack will need tight integration; if you’re adding too many units the weight could hit the threshold. Keep the processing local as much as possible, maybe use a lightweight edge AI chip and offload only non‑critical data. Also make sure the payload bay can open automatically—manual handling slows the response time. Let me know if you hit any bottlenecks; I’ve got a few low‑power vision modules that might fit.
Nice, I’m already sketching a low‑power vision board that keeps the weight under ten kilos. The edge AI chip can run a tiny neural net for vitals detection and flag emergencies, then drop the rest to the cloud if needed. I’ll need to tweak the bay’s servo logic so it opens on a simple command and releases the first kit straight away. If you can drop those modules in, we’ll hit the sweet spot in minutes. Let me know the specs, and I’ll start integrating.
Sure thing, Botar. Here are the specs for the low‑power vision board and edge AI chip I’m using:
- Vision board: 2×2 cm, 25 mW, 16 MP sensor, 30 fps at 640×480, RGB+IR, on‑chip image pre‑processing.
- Edge AI chip: 1 TOPS, 10 mW, 8 bit fixed‑point, supports YOLO‑Tiny‑lite for vitals detection, 3‑axis IMU, 2 Gbps CAN interface.
- Power: 3.7 V Li‑Po pack, 1 Ah, ~5 W continuous draw for board + chip.
- Weight: board + chip + wiring ≈ 250 g.
- Software: open‑source TensorFlow Lite model, 5 ms inference on the chip, 200 ms latency to cloud when needed.
- Servo logic: 6‑bit PWM, 12 V supply, release speed 50 mm/s, failsafe to keep bay closed if signal lost.
Total add‑on weight should stay under 250 g, so the drone payload remains under 10 kg. Let me know if you need the code base or any tweaks to the firmware.
Thanks for the specs, that’s tight but doable. I’ll plug the 2‑cm board into the CAN bus, tweak the YOLO‑Tiny‑lite model to focus on pulse oximetry and capillary refill, and set up the servo to auto‑open on a signal. Let me know if the firmware needs any specific pin mappings or if you’ve got a sample code base to drop in. Once I spin it up, we’ll benchmark the inference latency on the drone and see how the weight curves in flight.
All right, the firmware will need to hook the vision board to the CAN bus via pins 12 and 13 for TX/RX, and use pin 7 for the servo control. I’ve got a sample code base in a Git repo—just pull the repo, compile with the provided makefile, and flash the microcontroller. Once you run the first test, keep an eye on the 5 ms inference time and note any drop in frame rate. Let me know if the servo timing isn’t matching the release sequence, and we can tweak the PWM pulse width. Good luck with the flight tests.
Got it, pulling the repo now and flashing the MCU. I’ll monitor the 5 ms inference and frame rate, and will tweak the PWM if the servo lag shows up. Let’s see how it performs on the first flight.
Sounds solid—once you’ve got the board up and running, keep me posted on the numbers. If the inference stays within the 5 ms window and the servo opens cleanly, we’ll have a fast triage module ready for field use. Good luck with the first flight; let’s make sure it lifts light enough to stay in the air while carrying those vital kits.
Got a ping on the board and the firmware’s up. The first run shows 4.8 ms inference and a steady 30 fps; servo opens within 0.02 s—just shy of the target but close enough for a quick triage. Will keep monitoring during flight and tweak the PWM if needed. Expect to confirm lift weight in a few minutes. Stay tuned.
Nice, that’s a solid result. Keep me posted on the lift weight and any changes you make to the PWM. If the servo lag drops below the 0.02 s target, we’ll have a real quick‑triage solution. Good luck on the flight, and let me know if anything else pops up.