Detection Challenges Underlying Sense's Approach

[kevin1]

@drjb,
I think there is something else at work - how differentiated / unique are the transitions in your household. If Sense ends up seeing a spectrum across some set of transition features instead of clearly defined clusters, it’s hard to do an identification. My house has a bunch of things that are clearly detected, most often the larger old-school device (single stage AC, vacuum, furnace fans, etc), but a large population of smaller transitions that are not… Here’s my theory:

Minimum Consumption Threshold for Detection?

I’m not sure Sense is trying to find the “big fish” first. My view is that the issue with many of the small transitions is their lack of ubiquity - too many are similar and undistinguished in their “features” that Sense uses to identify unique fingerprints. Just to put a “face” on it, here’s a still from a Sense video back in 2018 that explained a little about their identification / categorization. It shows one slice of multi dimensional clustering of “features” used as input to identify dev…