Amazon Technologies, Inc.

Robert Ramsey Flenniken

Ramy Sammy Sadek

Menashe Haskin

Heinz-Dominik Langhammer

Daniel Christopher Bay

Jason Zimmer

Yue Liu

Ning Yao

Vijay Kamarshi

Sowmya Gopalan

Rahul Agrawal

Robert Warren Sjoberg

Helder Jesus Ramalho

Paul Matthew Bombach

A voice controlled assistant has a housing to hold one or more microphones, one or more speakers, and various computing components. The housing has an elongated cylindrical body extending along a center axis between a base end and a top end. The microphone(s) are mounted in the top end and the speaker(s) are mounted proximal to the base end. A control knob is rotatably mounted to the top end of the housing to rotate about the center axis. A light indicator is arranged on the control knob to exhibit various appearance states to provide visual feedback with respect to the one or more functions being performed by the assistant. In one case, the light indicator is used to uniquely identify participants involved in a call.

Voice controlled assistant with light indicator

An audio device may be configured to work in conjunction with a handheld remote controller to receive voice commands from a user. The audio device may have multiple local microphones that are used for sound source localization, to determine the position of the user. A remote audio signal may be received from the remote controller and used in conjunction with local microphone signals generated by the local microphones to aid in determining the position of the user. The last known position of the user may be recorded whenever the user speaks into the remote controller. When the user is unable to find the remote controller, the audio device may direct the user toward the last known position of the user.

Determining user location with remote controller

A system may utilize a projector, a camera, and a depth sensor to produce images within the environment of a user and to detect and respond to user actions. Depth data from the depth sensor may be analyzed to detect and identify items within the environment. A coordinate transformation may then be used to identify corresponding color values from camera data, which can in turn be analyzed to determine the colors of detected items. A similar coordinate transformation may be used to identify color values of a projected image that correspond to the detected items. In some cases, camera color values corresponding to an item may be corrected based on the corresponding color values of a projected image. In other cases, projected color values corresponding to an item may be corrected based on the corresponding camera color values.

Object-based color detection and correction

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Burlingame, CA, United States of America

Robert Ramsey Flenniken