公开(公告)号：US10163437B1

公开(公告)日：2018-12-25

申请号：US15171787

申请日：2016-06-02

Applicant: Amazon Technologies, Inc.

Inventor： Lindo St. Angel ,  Nikko Strom ,  Rohan Mutagi

IPC: G10L15/18 ,  G06F17/27 ,  G06N99/00 ,  G10L15/20 ,  G10L15/06

Abstract: Techniques for training machine-learning algorithms with the aid of voice tags are described herein. An environment may include sensors configured to generate sensor data and devices configured to perform operations. Sensor data as well as indications of actions performed by devices within the environment may be collected over time and analyzed to identify one or more patterns. Over time, a model that includes an association between this sensor data and device actions may be created and trained such that one or more device actions may be automatically initiated in response to identifying sensor data matching the sensor data of the model. To aid in the training, a user may utter a predefined voice tag each time she performs a particular sequence of actions, with the voice tag indicating to the system that temporally proximate sensor data and device-activity data should be used to train a particular model.

公开(公告)号：US11333378B1

公开(公告)日：2022-05-17

申请号：US15708002

申请日：2017-09-18

Applicant: Amazon Technologies, Inc.

Inventor： David A. Limp ,  Melissa J. Cha ,  Matthew Liang Chaboud ,  Rohan Mutagi ,  Frederic Johan Georges Deramat ,  Lindo St. Angel

IPC: F24F11/30 ,  H02J3/14 ,  G06Q50/06 ,  G05B13/02 ,  F24F11/62 ,  B60H1/00 ,  F24F11/46 ,  G05B15/02

Abstract: Described are systems, methods, and apparatus that enable power management and reduction at both the individual and group level to help reduce the overall power demand on a power system. One or more sensors may be positioned at different locations that collect and provide various sensor data to a remote computing system, referred to herein as a management system. The management system maintains location profiles for each location, user profiles for users at the various locations, and may also receive third party data, such as weather patterns, power system load, etc. The management system utilizes the received data to determine one or more energy saving actions that may be performed at the location(s) to reduce energy consumption and lower the demand on the power system.