Alitheon, Inc.

Microsoft Technology Licensing, LLC

David Keesu Kim

David Justin Ross

Mark Tocci

Scot E Land

Justin Lynn Withrow

Robert Saxon Ross

Shahram Izadi

Kazuhito Koishida

Cem Keskin

Vladimir Tankovich

Khuram Shahid

Bill Chau

Christoph Rhemann

Jaeyoun Kim

Sean Ryan Francesco Fanello

Adarsh Prakash Murthy Kowdle

Apparatuses and methods associated with personal history in a track and trace system are disclosed herein. In embodiments, a method includes acquiring first information corresponding to a physical object; identifying first authentication data based on the first information; storing the first authentication data in a database system; subsequent to storing the first authentication data, acquiring second information corresponding to a target physical object and identifying second authentication data based on the second information; identifying third information corresponding to the target physical object; querying the database system to seek a matching record based on the second authentication data; in the case that a matching record is returned responsive to the querying, updating the matching record with an indication that the second authentication data was matched to it and updating history data of said matching record based on said third information. Other embodiments may be disclosed or claimed.

Personal history in track and trace system

Apparatuses and methods associated with preserving authentication under item change are disclosed herein. In embodiments, acquiring digital image data of an image of at least a portion of a target physical object; extracting features from the image data to form a digital fingerprint; querying the database system to seek a matching record based on the digital fingerprint; based on an amount of difference between the digital fingerprint and a stored digital fingerprint of the database, update the database system to output a new indication of a new match to the physical object for any new samples that are not matchable to the stored digital fingerprint within a first predetermined similarity threshold provided the new samples are matchable to the digital fingerprint within a second predetermined similarity threshold. Other embodiments may be disclosed or claimed.

Preserving authentication under item change

Apparatuses and methods associated with personal history in a track and trace system are disclosed herein. In embodiments, a method includes acquiring first information corresponding to a physical object; identifying first authentication data based on the first information; storing the first authentication data in a database system; subsequent to storing the first authentication data, acquiring second information corresponding to a target physical object and identifying second authentication data based on the second information; identifying third information corresponding to the target physical object, querying the database system to seek a matching record based on the second authentication data; in the case that a matching record is returned responsive to the querying, updating the matching record with an indication that the second authentication data was matched to it and updating history data or said matching record based on said third information. Other embodiments may be disclosed or claimed.

Apparatuses and methods associated with multi-level authentication are disclosed herein. In embodiments, a method includes authenticating a physical object of a plurality of physical objects that together form an aggregate physical object; storing in a database system relationship information reflecting a relationship between the aggregate physical object and the plurality of physical objects; attempting to authenticate a target physical object; responsive to matching the target physical object to the aggregate physical object based on the attempt to authenticate the physical target: identifying in the database system a database record corresponding to the aggregate physical object; storing in the database record authentication data reflecting the match between the target physical object and the aggregate physical object; and storing an indication of a re-authentication of the physical object in the database system based on the relationship information. Other embodiments may be disclosed or claimed.

Multi-level authentication

Apparatuses and methods associated with preserving a level of confidence of authenticity of an object are disclosed herein. In embodiments, a method includes acquiring first information corresponding to a physical object; identifying first authentication data based on the first information; initializing a database record associated with the physical object responsive to identifying the first authentication data; determining whether the first authentication data corresponds to original provenance for the physical object; in response to determining that the first authentication data does not correspond to original provenance for the physical object, acquire and store in the database record first record data including authenticity information available in association with identification of the first authentication data; in response to determining that the first authentication data does correspond to original provenance for the physical object, retaining second record data in the database record. Other embodiments may be disclosed or claimed.

Preserving a level of confidence of authenticity of an object

Techniques for determining depth for a visual content item using machine-learning classifiers include obtaining a visual content item of a reference light pattern projected onto an object, and determining shifts in locations of pixels relative to other pixels representing the reference light pattern. Disparity, and thus depth, for pixels may be determined by executing one or more classifiers trained to identify disparity for pixels based on the shifts in locations of the pixels relative to other pixels of a visual content item depicting in the reference light pattern. Disparity for pixels may be determined using a visual content item of a reference light pattern projected onto an object without having to match pixels between two visual content items, such as a reference light pattern and a captured visual content item.

Determining depth from structured light using trained classifiers

Computer systems, methods, and storage media for changing the state of an application by detecting neurological user intent data associated with a particular operation of a particular application state, and changing the application state so as to enable execution of the particular operation as intended by the user. The application state is automatically changed to align with the intended operation, as determined by received neurological user intent data, so that the intended operation is performed. Some embodiments relate to a computer system creating or updating a state machine, through a training process, to change the state of an application according to detected neurological data.

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Redmond, WA, United States of America

David Keesu Kim