Improve Device Management UI

[ixu]

BTW @sense11, this thread parallels @kevin1’s well-formulated responses to my recent question regarding detection & training:

Human-dictated usage pattern ML vs detection ML

This may be a “Technical” or even “Meta” discussion but it’s fundamentally about detection so here goes: I understand that the Sense device detection (algorithm) is happening at the monitor (the in-house Sense) based upon the cloud Brain and ML therein. What I don’t understand is how the usage patterns of learned (or pre-learned) device signatures comes into play in the detection. Sharper English-speaking minds may have called this the Q-U problem? Meaning: Suppose an AC unit’s blower & comp…

Here is something I find myself pondering:

• What’s to prevent a badly formed device list corrupting the algorithm?
• What happens if somebody with malicious intent starts to “hack” the lists?