Solidman & SnakeEyes
SnakeEyes
Got a minute to talk about the new drone system that can spot structural faults in real time? It’d give us a clear edge on site checks without wasting time on manual surveys.
Solidman
Sounds like a good idea, but make sure the drone’s data feeds straight into our existing quality control system. We can’t afford extra steps or errors—precision and reliability are the only options. Also double‑check the battery life and the calibration process; one mis‑aligned sensor could throw off the whole inspection. If it does what you say, it’ll cut down survey time and keep the crew on schedule. Let me know when you’ve got the specs and a test plan.
SnakeEyes
Will run the integration test overnight, make sure the data pipeline is locked in, battery is rated for 90 minutes and calibration check is automated. I’ll pull the specs and draft the test plan by first shift. You’ll know tomorrow.
Solidman
Alright, keep it tight. Make sure the data goes straight into the quality system and that the calibration auto‑check is verified with a sample run before you call it done. We can’t waste time on a glitch later. Let me know the specs and the test plan first shift and I’ll review it. No surprises.
SnakeEyes
Specs:
- Drone model: H‑Cobra 3‑B, 4‑K resolution, thermal sensor.
- Data link: encrypted 2.4 GHz, 30 Mbps, feeds into QC via API endpoint /qc/inspections.
- Battery: 18 Ah Li‑Po, 90 min runtime at 30 mph.
- Auto‑calibration: sensor lock‑in algorithm runs every 10 min, outputs checksum to QC.
Test plan:
1. Power on, run 30‑minute flight, capture 5 K image set, transmit to QC.
2. Verify QC log shows all images, checksum passes.
3. Simulate sensor drift, ensure auto‑cal check flags error and logs it.
4. Run full 90‑min endurance, confirm no data loss.
Will run the sample run before shift ends. Expect report in the briefing.