Amazon Technologies, Inc.

Korwin Jon Smith

Piragash Velummylum

James Hollis Wood

Johanna S Olson

Sridhar Boyapati

Alexander Michael McNamara

Benjamin Ralph Hollis

Wenlin Ma

Félix Joseph Étienne Pageau

Christopher Gerald Emery

David William Bettis

Dilip Kumar

Manoj Aggarwal

Aaron Craig Thompson

David Echevarria Ignacio

Amber Autrey Taylor

Jason Michael Famularo

Thomas Meilandt Mathiesen

Lucas B Dickey

Sudarshan Narasimha Raghavan

Ammar Chinoy

Natalie Thuy-Tien Nguyen

Jordan Tyler Williams

Kevin Alexander Lee

Jack Bradley Jones

Jason Garfield

Patrick C Teo

Jared Joseph Frank

Scott Durham

Benjamin Lee Shepherd

William D Carr

Nathan Lee Wesling

Emily Josephine Butler

Brandon William Porter

Gerard Guy Medioni

Yasser Baseer Asmi

Alexander Clark Prater

Chris A Suver

Christopher Andrew Stephens

David Samuel Zipkin

Kirk Arlo Petersen

George Leifman

Gary Paolo Raden

Muralidhar Koka

Hsuan-Cheng Lai

Natan Peterfreund

Dmitri Veikherman

Sora Kim

Lu Ye

Eric Jason Brandwine

Matthew Christopher Smith

Nikolai Orlov

Prithviraj Banerjee

Douglas Andrew Hungarter

Rajeev Ranjan

Manine R Golden

Nichole Stockman

Joshua Adam Cowan

Jared Corso

Christopher G Emery

Described is a system and method for routing output information to one or more of a plurality of output devices. In one implementation, output information that includes information to be presented and a location information identifying where the output information is to be presented may be generated by an output host. The output information is received by an output router that determines, based on the location information, an output device and routes the output information to the output device for presentation.

Altering output hosts

This disclosure describes techniques for identifying users that are enrolled for use of a user-recognition system and updating enrollment data of these users over time. To enroll in the user-recognition system, the user may initially scan his or her palm. The resulting image data may later be used when the user requests to be identified by the system by again scanning his or her palm. However, because the characteristics of user palms may change over the time, the user-recognition system may continue to build more and more data for use in recognizing the user, in addition to removing older data that may no longer accurately represent current characteristics of respective user palms.

Utilizing sensor data for automated user identification

Users in a facility may move about and their authentication status may change accordingly. For example, upon entering a facility, a user may present identification data. At that point, the user is considered an authenticated user with persistent profile data. However, the identification of a user may not be presented at entry or may be unreliable, which causes the user to be considered an unauthenticated user with temporary profile data. In other scenarios, the identification of authenticated users may become unreliable based on their location or their proximity to other users. In cases where users are crowded at a location, the profile data for such users may be aggregated and may be based on common settings of the set of possible users in the group. A user interface may be presented to a user based on their designated profile data.

System for managing profile data for users in a facility

This disclosure describes a system for associating multiple totes with a single profile so that items placed into any of the multiple totes are identified on a profile item identifier list. For example, if two users located in a materials handling facility are picking items that are to be consolidated or otherwise treated together, each user may select a different tote and move separately through the materials handling facility. As either user picks items and places those items into a corresponding tote, a profile item identifier list is updated to include an item identifier for each picked item.

Group shopping

This disclosure describes techniques for providing instructions when receiving biometric data associated with a user. For instance, a device may detect a portion of a user, such as a hand. The device may then display a first graphical element indicating a target location for placing the portion of the user above the user-recognition device. Additionally, the device may determine locations of the portion of the user above the device. The device may then display a second graphical element indicating the locations, such as when the locations are not proximate to the target location. Additionally, the device may display instructions for moving the portion of the user to the target location. Based on detecting that the location of the portion of the user is proximate to the target location, the device may send data representing the portion of the user to a remote system.

Electronic device for automated user identification

An identification system includes one or more infrared light sources and a camera that acquires images of a user's palm. For example, at a first time, one or more first images may be acquired by the camera using infrared light with a first polarization that represent external characteristics of the user's palm. At a second time, one or more second images may be acquired using infrared light with a second polarization that represent internal characteristics of the user's palm. These images are processed to determine a first set of feature vectors and a second set of feature vectors. A current signature may be determined using the first set of feature vectors and the second set of feature vectors. In addition, a user may be identified based on a comparison of the current signature and previously stored reference signatures that are associated with candidate user identifiers.

User identification system using infrared images of palm characteristics

A system may use sensor data from a facility to generate tentative values associated with an event, such as the identification of an item removed from a shelf of the facility. A confidence value associated with each of the tentative values may be less than a confidence threshold. In response, inquiry data seeking confirmation of a tentative value from an associate is generated and sent to one or more associates in the facility. Responses from the associates are collected to determine a selection of one of the tentative values. The selected tentative value is designated as output data for the system. Thereafter, the output data and the original sensor data are designated as training data, which can then be used to train or update machine learning systems. Subsequent use of the updated machine learning systems can yield more accurate results.

Updating machine learning systems using previous output data

Tote and item association

Described are systems and techniques to present information to a user of a materials handling facility using a representative color. A representative color at an inventory location is determined based on one or more colors used at the inventory location. Once determined, the representative color may be used in the presentation of a user interface that includes item data and visual elements therein. The use of the representative color in the user interface facilitates the identification of items or an inventory location within the material handling facility.

User interface with a representative color

Disclosed are various embodiments for triggering a processing of a data object stored in a bucket in a data store. In one embodiment, a cloud computing resource comprising one or more processors in communication with a data store receives a notification event generated in response to a modification of a data object in one or more buckets. The cloud computing resource determines, responsive to the received notification event, that a data object stored in a bucket in the data store has been modified. The cloud computing resource triggers a processing of the data object by executable code associated with the data object. The executable code causes a notification message, processing of the modified data object, or other user specified processes within a platform as a service cloud computing offering.

Processing data object modifications in a networked storage system

Disclosed are various embodiments of a file service. In some embodiments, a plurality of files are stored. Each of the files includes a corresponding file object identifier and a corresponding storage object identifier. A user interface comprises a single view that shows the plurality of files. A file object identifier of a particular file is mapped to a storage object identifier for the particular file. The storage object identifier specifies a network address where a storage object of the particular file is stored. Access is provided to the particular file based at least in part on the storage object identifier.

Aggregated storage file service

Disclosed are various embodiments for a local networked storage that is linked to a remote networked storage system. In one embodiment, among others, a computing device obtains a request to read a file stored in a remote networked storage system in association with a user account, in which the request is obtained from a client computing device through a local network. The computing device also determines that the file is stored in a local cache and receives the latest file signature associated with the file from the remote networked storage system. The computing device can determine that the latest file signature corresponds to a file signature of the file stored in the local cache and can determine that the file stored in the local cache corresponds to the latest version of the file. The file can be sent through the local network.

Local networked storage linked to remote networked storage system

Described are systems and techniques configured to provide a user interface for an unauthenticated user of a materials handling facility. A transient profile indicative of one or more user preferences may be created and associated with the unauthenticated user. As the unauthenticated user interacts with the facility, preferences may be determined and included in the transient profile. Subsequent operation of the facility may take into account the transient profile. As the unauthenticated user moves throughout the facility, the transient profile may 'follow' them, providing an ongoing user experience. Should the unauthenticated user later be authenticated, the transient preferences may be incorporated into a persistent profile.

User interface preference management

Functionality of sensors on a shelf or other inventory location is tested by encouraging an interaction and determining if the output from the sensors on the shelf is consistent with the interaction. An interaction at the shelf can include, for example, a user adding or removing an item from the shelf. To encourage this type of interaction with the shelf or items therein, an announcement may be generated and presented to a user. The announcement may comprise an advertisement with some type of incentive for the user to add or remove an item from the shelf. Upon verifying such an interaction, sensor data before and after the interaction can be compared to generate diagnostic data for the sensor, which can indicate whether the sensor is operational or malfunctioning.

Sensor testing using a presentation of announcements

Growing community of inventors

Seattle, WA, United States of America

Korwin Jon Smith