Amazon Technologies, Inc.

Huinan Ren

Ruhi Sarikaya

Douglas James Herrington

Samuel Pike Hall, Vi

Kerry Hammil

Catalin Mihai Constantin

Simon Peter Reavely

Michael Allen Swift

Yair Rivlin

Samuel Pike Hall

Ruslan Khmeliuk

Brian Gleadle

Pushkar Naik

Vinit Dinesh Jain

Jerrin Thomas Elanjikal

Zheng Ma

Kristin Quel Lien

Nicole Yoshino

Bradford Jason Snow

Abhishek Shrivastava

Samuel Pike Iv Hall

Techniques for predicting a manufacturer and/or contents of a received package are described herein. Images of a package may be received from cameras. A visual vector for the package in a vector space of package attributes may be generated using the images. Physical attributes of the package may be received. A subset of candidate packages may be determined by comparing the physical attributes of a plurality of historically received packages to the physical attributes of the package. A ranking of the subset of candidate packages may be determined by identifying a distance in the vector space of the package attributes between a vector for the subset of candidate packages and the visual vector for the package. An identifier associated with a particular package of the ranked subset of candidate packages may be obtained. Data for the particular package may be retrieved from a database using the identifier.

Package similarity prediction system

Techniques for performing command processing are described. A system receives, from a device, input data corresponding to a command. The input data may originate as audio data, as text data, or as other data. The system determines NLU processing results corresponding to the input data. The NLU processing results may be associated with multiple speechlets. The system also determines NLU confidences for the NLU processing results for each speechlet. The system sends NLU processing results and an indication to provide potential results to a portion of the multiple speechlets, and receives potential results from the portion of the speechlets. The system also receives indications whether the speechlets need to be re-called if the speechlets are selected to execute with respect to the command. The system ranks the portion of the speechlets based at least in part on the NLU processing results as well as the potential results provided by the portion of the speechlets. The system may also rank the portion of the applications using other data. The system causes content provided by the highest ranked speechlet to be output to a user.

System command processing

Disclosed are various embodiments for tracking and verifying the authenticity of items. Public and private unique identifiers are generated for an item, and an identifier label is printed and affixed to the item. The public identifier is visible, but the private identifier is not visible unless a tamper-evident action is performed. Events involving scans of the public identifier are recorded. The private identifier is scanned by a client, and in response, authenticity information for the item is sent to the client. The authenticity information is determined based at least in part on the events relative to the public identifier.

Tracking and verifying authenticity of items

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Seattle, WA, United States of America

Huinan Ren