Google’s smart home AI will be able to use clothing to identify people and recognize specific sounds caught on camera.
Google’s smart home AI will be able to use clothing to identify people and recognize specific sounds caught on camera.
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Illustration by Alex Castro / The Verge
is a news writer covering all things consumer tech. Stevie started out at Laptop Mag writing news and reviews on hardware, gaming, and AI.
A new update for Google Home could make it less likely your smart home cameras mistake you for someone else, just because you’re facing away from the camera. Starting June 23rd, Google’s expanding its facial recognition feature so that people you’ve tagged in your Familiar Faces library can continue to be identified when their faces aren’t clearly visible, using “additional non-biometric signals (body size, clothing color, etc.).”
The Familiar Faces library will also begin automatically updating with the most recent images of everyone in your house, so you should get fewer inaccurate notifications from outdated examples.
Google also says its AI-generated video event descriptions “can now identify specific sounds — like dogs barking, alarms, or footsteps” and include them in the notes, even if the audio came from something off camera. All of these updates could help address some of the quirks The Verge’s Jennifer Pattison Tuohy noticed while trying out Google’s updated smart home system last year, like event logs with detailed descriptions of people who weren’t there, and things that didn’t happen.
A new update to the Google Home app in version 4.20 also adds new “System Health alerts” if your Nest thermostat detects issues with your HVAC, which sounds like a Gemini-connected update to the previously existing Google Nest System Health Monitoring, and improved support for Matter switches.
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