Google Home’s “Familiar Faces” feature has been a hit or a miss for years. When the Nest hardware was relaunched in 2021, Google promoted Familiar Faces as a key feature. It uses face detection and a growing library of faces to recognize people and tell you who’s at the door without delay. The idea on paper sounds great, but the problem is that it hasn’t always worked as intended. Well, that could be a thing of the past, as Google Home is trying to fix the Familiar Faces feature with two new improvements.
Google Home is making Nest Cam ‘Familiar Faces’ more reliable with two improvements
Familiar Faces sometimes fails to recognize people it sees on a daily basis. It can even end up thinking one person is someone else entirely. Nest Cam owners should relate to this frustrating experience. No amount of resetting the faces seems to solve this shortcoming, apparently. The Gemini upgrade was supposed to make things better, but it doesn’t seem to have fixed it entirely.
The tech giant is now bringing two major changes to address this shortcoming. “We’ve made some improvements to familiar face detection and made it easier to refine so you can spot people you know more accurately and get more reliable alerts,” says Google.
There’s a new feedback tool
First, there will be a new thumbs-up/down feedback tool so users can easily flag when it identifies a face incorrectly. Google notes that over time, this option will help make familiar face detection more accurate when it sends alerts. The other change is to the library. Google will clean up the face library to remove low-quality images, like blurry, ghosted, non-frontal, or small faces. This should make the library easier to manage and improve accuracy.
While neither of these may sound groundbreaking, nor do they make things better overnight, it’s at least a start and a welcome move from Google to address the problem.
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