Google patents system that turns smart home sensor data into actions
Google has filed a patent for a system that uses sensors in a home to collect data and feed it into a machine learning model. The model looks for patterns in this data to create specific actions, which are then sent to the user.
In the filing’s own words
This document describes systems and techniques directed at generating actionable insights from smart home event data. Various examples are described herein, including a method, the method including generating, by one or more home surveillance sensors, home data. The method further includes receiving, by a machine-learned (ML) model, the home data and generating, by the ML model, one or more correlations based on the home data. The method further includes generating, based on the one or more correlations, a home action and configuring, by one or more processors, the home action for output to a user.
What exactly they claim (claim 1)
1. A method for generating device actions, the method comprising: generating, by one or more home surveillance sensors, home data; receiving, by a machine-learned (ML) model, the home data; generating, by the ML model, one or more correlations based on the home data; generating, based on the one or more correlations, a home action; and configuring, by one or more processors, the home action for output to a user.
Facts
- Company
- Google (Google LLC)
- Official title
- Generating Actionable Insights from Smart Home Event Data
- Publication number
- US20260303401A1
- Application number
- 19372788
- Filed
- Oct 29, 2025
- Published
- Oct 1, 2026
- Inventors
- 5
- Claims
- 20
Classified under
H04L 12/2816 Electricity & electronicsH04L 12/2823 Electricity & electronicsMore from Google in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.
