Google Inc.

Sayed Yusef Shafi

James Edward Stewart

Seungho Yang

Sahana Mysore

Jason Evans Goulden

Michael D Dixon

Jeffrey Alan Boyd

Rajeev Conrad Nongpiur

Christopher Charles Burns

Yu-An Lien

Rengarajan Aravamudhan

Hae Rim Jeong

Joe Delone Venters

George Alban Heitz

Cameron Hill

Sourav Raj Dey

Mehul Nariyawala

Todd Hester

Yohannes Kifle

Haerim Jeong

Jonathan Z Ben-Meshulam

A method of detecting and responding to a visitor to a smart home environment via an electronic greeting system of the smart home environment, including determining that a visitor is approaching an entryway of the smart home environment; initiating a facial recognition operation while the visitor is approaching the entryway; initiating an observation window in response to the determination that a visitor is approaching the entryway; obtaining context information from one or more sensors of the smart home environment during the observation window; and at the end of the time window, initiating a response to the detected approach of the visitor based on the context information and/or an outcome of the facial recognition operation.

Systems and methods of detecting and responding to a visitor to a smart home environment

A method of presenting appropriate actions for responding to a visitor to a smart home environment via an electronic greeting system of the smart home environment, including detecting a visitor of the smart home environment; obtaining context information from the smart home environment regarding the visitor; based on the context information, identifying a plurality of appropriate actions available to a user of a client device for interacting with the visitor via the electronic greeting system; and causing the identified actions to be presented to the user of the client device.

Systems and methods of presenting appropriate actions for responding to a visitor to a smart home environment

A method at a computing system includes: obtaining video of an environment including a plurality of objects, wherein the video has a field of view; identifying one or more objects of the plurality of objects within the field of view; defining a zone of interest associated with a first object of the one or more objects, including identifying the zone of interest as one of an alerting zone or a suppression zone; subsequent to the defining, detecting one or more motion events captured in the video occurring at least partially within the zone of interest; when the zone of interest is an alerting zone, causing one or more notifications of the one or more motion events to be issued; and when the zone is a suppression zone, suppressing notifications of the one or more motion events.

Automatic detection of zones of interest in a video

A peer group of a user may be identified on the basis of geographic information and building occupancy information for the user and for possible peers of the user. Energy usage data for each peer group member may be compared with that of the user. A comparison result may be computed between each peer group member and the user. A representation of comparison results may be provided to the user.

Identification of similar users

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San Jose, CA, United States of America

Sayed Yusef Shafi