Amazon Technologies, Inc.

David Echevarria Ignacio

Sridhar Boyapati

Waqas Syed Ahmed

Danny Guan

Korwin Jon Smith

Alexander Michael McNamara

Aaron Craig Thompson

Brett Richard Taylor

David William Bettis

Mirko Mandic

Prathiban Mohanasundaram

Helene Causse

Shannon Thomas

Jacques Daniel Thomas

Sabarishkumar Iyer

Fei Xiong

Caylan Lee

Dilip Kumar

Sudarshan Narasimha Raghavan

Ammar Chinoy

Alexander Clark Prater

Christopher Andrew Stephens

Félix Joseph Étienne Pageau

Kevin Alexander Lee

Gary Paolo Raden

Geoffrey Scott Pare

Daniel Jason Dickinson

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

Techniques for employing user interfaces to output information indicative of events occurring in an inventory facility, and receive feedback from a human regarding the events are described herein. In one implementation, an event may take place in an inventory facility, such as a customer taking an item from an inventory location, returning an item to an inventory location, and so forth. An automated system of an inventory management system may process sensor data collected by sensors in the inventory facility to determine details of the event. In some examples, the inventory management system is unable to determine with a high level of confidence what occurred during the event. The inventory management system may provide the sensor data to a human associate through an associate interface, and receive input regarding details of the event from the human associate through the associate interface.

Identifying user-item interactions in an automated facility

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

This disclosure describes interactive data processing systems configured to facilitate selection by a human associate of tentative results generated by an automated system from sensor data. In one implementation, an event may take place in a materials handling facility. The event may comprise a pick or place of an item from an inventory location, movement of a user, and so forth. The sensor data associated with the event is processed by an automated system to determine tentative results associated with the event. In some situations, an uncertainty may exist as to which of the tentative results accurately reflects the actual event. The system may then determine whether the event is to be merged with one or more temporally and spatially proximate events and, if so, the sensor data and tentative results for the merged event is sent to a human associate. The associate may select one of the tentative results.

Merging events in interactive data processing systems

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

Described is an interactive data processing system configured to facilitate selection by a human associate of tentative values generated by an automated system from sensor data. In one implementation, an event may take place in a materials handling facility. The event may comprise a pick or place of an item from an inventory location, movement of a user, and so forth. The sensor data associated with the event is processed by an automated system to determine tentative values associated with the event. In some situations, an uncertainty may exist as to which of the tentative values accurately reflects the actual event. The sensor data and tentative values may be provided to a human associate. The associate may select one of the tentative values. The selected tentative value and the sensor data may be used to train the automated system.

Interactive data processing system

Described are systems and techniques configured to test sensors in a materials handling facility. In one implementation, an age of a user in the facility and a predicted path through the facility may be determined. Physical access controls may be initiated at inventory locations along the predicted path and adjacent to the user. The physical access controls may include deployment of physical barriers, activation of locks, and so forth. As another user who is permitted access approaches a particular inventory location, the physical access controls may be deactivated.

Sensor test system

A system and method for determining authenticity and authorized possessorship of an item that includes operations of determining a watermark comprised of one or more variations of a set of characteristics integrated into composition of the item, requesting confirmation of authenticity from an authenticity verification service that the determined watermark corresponds to an authentic, registered item, and, in response to the request for confirmation of authenticity, receiving an indication of authenticity of the item and an indication of possessor ship based at least in part on the determined watermark. Further including a system and method for obtaining a blueprint for producing the item, determining the watermark for the item, producing the item with the watermark according to the blueprint, and registering the watermark and at least one authorized possessor of the item with the authenticity verification service of a computing resource service provider.

Product authenticity verification system

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Seattle, WA, United States of America

David Echevarria Ignacio