Disney Enterprises, Inc.

Bryant Boyle

Michael Tschanz

Patrick McNaull

J Thomas Ngo

Gregory Brooks Hale

Ching-Chien Chen

Clifford Aron Wilkinson

Gary D Markowitz

Jeremy Eaton

A restraint verification platform may obtain video data video data of a passenger in a passenger seat. The restraint verification platform may analyze the video data using one or more machine learning models trained to detect passengers in passenger seats and passenger restraints of the passenger seats. The restraint verification platform may detect, using the one or more machine learning models and based on analyzing the video data, the passenger in the passenger seat and a passenger restraint of the passenger seat. The restraint verification platform may determine, based on analyzing the video data, that the passenger restraint is not properly securing the passenger. The restraint verification platform may perform an action based on determining that the passenger restraint is not properly securing the passenger.

System and method for verifying proper usage of passenger restraints

An iterative method and system for performing the method are described that implement a technique to fit irregularly shaped items into a defined space. In particular, one example may take the form of a method including predetermining one or more layouts for a defined space. Each layout has a plurality of shapes. The method also includes receiving a set having a plurality of items and determining one or more configurations formed by assigning to each shape in the layout an item from the set. The items match the shapes to which they are assigned. Additionally, the method includes scoring each configuration and selecting one configuration based at least in part upon the scoring.

Iterative packing optimization

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Winter Garden, FL, United States of America

Bryant Boyle