Digital & VaultGirl
Got any ideas on how a lightweight AI could help spot gear issues before they jam in the field?
Sure thing. Get a handful of cheap sensors on the gear—pressure, vibration, temp—and feed the data to a tiny neural net running on the field rig. Let it learn what “normal” feels like, then flag any deviation before it turns into a jam. Keep the model light, just enough to spot a spike in vibration or a drop in pressure. Send an alert to the crew’s tablet, and they can pull the thing out before the next sprint. Easy, fast, no fuss.
Sounds solid, but remember the data‑privacy angle—if you’re logging temp and vibration, people might wonder what else you’re tracking. Keep the model lean and the logs short, and you’ll avoid turning the rig into a secret surveillance hub.
Got it—just keep the logs to the essentials and scrub any personal data before it hits the cloud. A tiny on‑board cache, then wipe it after you pull the alert to the crew’s tablet. That way you’re only tracking what you need and nobody’s left wondering why the gear’s got a secret diary.
Nice, just make sure the cache wipes happen before the crew even opens their inbox—keeps the secret diary on the shelf.
Exactly, wipe the cache right after the alert hits the tablet so the crew never sees the raw data. Keeps the diary on the shelf and the gear running smooth.
That’s the best of both worlds—instant insight, no backlog. Just keep an eye on the wipe timing so nothing slips through the cracks.
Got it—I'll lock the wipe timer to the alert trigger so nothing slips through the cracks.