Jbt Aerotech Corporation

Oshkosh Aerotech, LLC

John Bean Technologies Corporation

Stephen C Tatton

Mark T Thompson

Larry G Buford

Grant Thomas

In some embodiments, a computer-implemented method of controlling autonomous movement of a mobile object in an aircraft operating area is provided. An autonomous control computing system receives an image from a digital camera positioned to view at least a portion of the mobile object. The autonomous control computing system provides the image to a machine learning model to detect within the image one or more self objects and one or more intruder objects. The one or more self objects are affixed to the mobile object. The autonomous control computing system predicts future locations for the self objects based on a navigation path for the mobile object. In response to detecting an overlap between the future locations for the self objects and the intruder objects, the autonomous control computing system alters the navigation path to prevent a collision between the self objects and the intruder objects.

Artificial intelligence techniques for autonomous operation of passenger boarding bridges

In some embodiments, a system is provided that includes an edge computing device and at least one camera configured to obtain image data depicting at least a portion of an operations area. The edge computing device includes a non-transitory computer-readable medium that has a model data store and computer-executable instructions stored thereon. The instructions cause the edge computing device to perform actions including receiving at least one image from the at least one camera; processing the at least one image using at least one machine learning model stored in the model data store to determine at least one environmental state within the operations area; and controlling a device based on the determined at least one environmental state. The machine learning model is trained by a model management computing system that obtains training data via low-bandwidth connections to edge computing devices.

Controlling devices in operations areas based on environmental states detected using machine learning

An event recognition system includes one or more processing circuits including one or more memory devices and one or more processors. The one or more memory devices are configured to store instructions thereon that, when executed by the one or more processors, cause the one or more processors to: execute an algorithm that receives image data as an input and recognizes a first equipment object and a second equipment object in the image data; recognize an event involving the first equipment object and the second equipment object based upon the image data containing the recognized first equipment object and the recognized second equipment object; and execute an event procedure based upon the event where the event procedure includes controlling the first equipment object.

Event recognition systems and methods

Event recognition methods include executing, with a controller, an algorithm which receives image data as an input and recognizes a first equipment object and a second equipment object in the image data; recognizing an event involving the first equipment object and the second equipment object based upon the image data using the controller; executing an event procedure based upon the event, wherein the event procedure includes controlling the first equipment object using the controller; and transmitting the image data to a network-based client based upon the event.

Event recognition methods

Video messaging systems includes a plurality of camera systems, a plurality of network-based clients, a messaging hub communicatively connectable to the plurality of network-based clients, and a video frame transmission service communicatively connected to the messaging hub. The messaging hub is configured to transmit image data as encoded data to each of the plurality of network-based clients. The video frame transmission service is configured to selectively connect with at least one of the plurality of camera systems for a time period that is based upon a request received from at least one of the plurality of network-based clients.

Video messaging system

Event recognition systems include a camera and a controller. The controller is communicatively connectable to the camera, and includes a processor and logic that, when executed by the processor, causes the event recognition system to perform operations including: recognizing an event involving an equipment object based upon image data captured by the camera, executing an event procedure based upon the event, the event procedure including controlling the equipment object, and transmitting the image data to a network-based client based upon the event.

Event recognition system

A system for monitoring aircraft/airport operations includes a controller operatively coupled to a network, a data storage device comprising flight information data that is operatively coupled to the network, a data storage device comprising gate information data that is operatively coupled to the network and at least one user interface wherein a user may access the flight information data and the gate information data. A method of monitoring airport operations includes accessing a single integrated system having access to flight information data and gate information data and monitoring at least one activity relating to airport operations based upon information accessed in the single integrated system.

Growing community of inventors

Spring, TX, United States of America

Stephen C Tatton