Ebay, Incorporated

Eshares, Inc.

Japjit Singh Tulsi

Robinson Piramuthu

Mohammadhadi Kiapour

Qiaosong Wang

Fan Yang

Shuai Zheng

Neeraj Jain

Jerry O Talton, Iii

Daniel Fike

Vrushali Vivek Paunikar

Adam Nathan Savitzky

Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.

Camera platform incorporating schedule and stature

Camera platform and object inventory control

Methods and systems for an extensible, universal ledger. One of the methods includes receiving at a journal manager engine a register transaction type request for a first transaction type, the journal manager engine reading and writing to a journal that stores a history of object state and of code by which object state is changed, wherein the register transaction type request is based at least in part on a template and specifies at least one action that can be performed as part of the first transaction type; writing the transaction type request to the journal including an operation definition for the first transaction type; receiving a transaction request of the first transaction type; obtaining the operation definition from the journal; executing an operation in response to the transaction request to produce a transaction result; and recording the transaction result in the journal.

Extensible universal ledger

Methods and systems for storing multiple asset types with embedded rules to simplify storage and enable simple and friction-free transactions. One of the methods includes: representing a plurality of asset types using a plurality of standard asset ownership units, each standard asset ownership unit representing a specific asset type; using a roll-up node configured to group specified standard asset ownership units; embedding standard asset unit ownership rules in each standard asset ownership unit, the standard asset ownership unit rules describing permitted behaviors for a specified asset type; embedding roll-up rules in the roll-up node, the roll-up rules including specification of which standard asset ownership units are grouped into the roll-up node, the standard asset ownership unit rules and the role-up rules being based on rules templates; receiving a request for information; and in response to the request, providing information based at least in part on data from the roll-up node.

Multiple asset types with embedded rules

Camera platform and object inventory control techniques are described. In an implementation a live feed of digital images is output in a user interface by a computing device. A user selection is received through interaction with the user interface of at least one of the digital images. An object, included within the at least one digital image, is recognized using machine learning. Metadata is then obtained that pertains to the recognized object. Augmented reality digital content is generated based at least in part of the obtained metadata. The augmented reality digital content is displayed as part of the live feed of digital images as associated with the object.

Growing community of inventors

Los Altos Hills, CA, United States of America

Japjit Singh Tulsi