Amazon Technologies, Inc.

Wildtangent, Inc.

Michael Lee Sandige

Paul Aksenti Savastinuk

Geoffrey Heller

Michael Dillon

Gary W Hinger, Ii

Charles Winn Degranville

Paul Eugene Munger

Jim Oommen Thomas

Kah Kuen Fu

Ross David Roessler

Amit Dekate

Joseph James Greene

Kritarth Jain

Scott Brown

Matthew Scott Wilding

Steven Xiang Chen

Christina Alexandra Polyukh

Michal Marek Kozlowski

Andrew Bartlett Leonard

Geoffrey Scott Heller

Systems and techniques for detecting events involving a user that occurred during a session in a facility, and performing a holistic, session-based analysis of the events to determine items taken by the user from the facility. An inventory management system may initially analyze the events to determine a hypothesis for a result of each respective event and a probability that the hypotheses are accurate. An initial listing of the items determined to be taken by the user may be generated along with probabilities that the items were taken. Upon determining that a probability an item was taken is lower than a threshold, the management system may select an algorithm to process an event in the session that is likely to resolve uncertainty in the initial listing. The management system may iteratively process events until a final listing represents the items taken by the user with an allowable probability.

Session-based analysis of events

Systems and techniques for detecting events involving users that occurred at an inventory location, and then using the events to determines states of the inventory location at various times. For instance, a system may generate event data representing first events that occur within an inventory location. The first events may include an associate performing a task, a customer removing an item, a customer returning an item, and/or so forth. The system may then use the event data to determine a state of the inventory location during a second event. In some examples, the state may include a tidy state or an untidy state. If the state includes a tidy state, then the system may generate a listing of items that includes at least one item associated with the second event. However, if the state includes an untidy state, then the system may further process the second event.

Analysis of events for state detection

A tracking architecture is provided that enables data for gestures and head positions to be provided to both native and non-native clients on a computing device. A pipeline component can obtain the raw image data and sensor data and synchronize that data to be processed to determine, for example, location and/or motion data that may correspond to device input. The data can be processed by separate components, such as an event publisher and an event provider, each capable of filtering the location, motion, and/or raw sensor data to generate a set of event data. The event data then can be published to registered listeners or provided in response to polling requests. Head coordinates, gesture data, and other such information can be passed through one or more interface layers enabling the data to be processed by a non-native client on the device.

Architectures for processing of head tracking on a mobile device

A device configured with a user interface (UI) that changes based on a position of a user determines the position of the user through multiple data sources including camera based head tracking and output from motion sensors such as a gyroscope. Each data source may output its own estimated head position. The device may apply a reliability weight to the head position determined by each data source. A composite head position is then determined from the weighted position. The composite position is then used to render the UI.

Trust shifting for user position detection

Embodiments of the present invention provide methods, systems, and apparatuses configured to receive or retrieve markup data associated with a message formatted for two-dimensional (2D) rendering, virtually render, by a first rendering module, the message in a non-displayed image in accordance with the markup data, and render, by a second rendering module, a three-dimensional (3D) object in a 2D display environment including texturing the non-displayed image on a surface of the 3D object in order to render the message. Other embodiments are also described.

Rendering of two-dimensional markup messages

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Sammamish, WA, United States of America

Michael Lee Sandige