Terraclear Inc.

Sourcecode Technology Holdings, Inc.

K2 Software, Inc.

Jacobus Du Preez

Brent Ronald Frei

Vivek Ullal Nayak

Isabelle Butterfield

Thayne Kollmorgen

William David Dimmit

Dwight Galen McMaster

Clifford Holmgren

Michael Racine

Dafydd Daniel Rhys-Jones

Adriaan Van Wyk

Wynand Du Toit

Olaf Alexander Wagner

Grant Dickinson

Riaan Moolman

Norman Anderson

Eric Johnson Schaffer

Anthony Thomas Petro

Richard Grimes Cowan, Jr

Pieter Janson

An object-collection system is disclosed. The system including a vehicle connected to a bucket, a camera connected to the vehicle, and an object picking assembly configured to pick up objects off of ground. The system further includes a processor that obtains object information for identified objects, guides the object-collection system over a target geographical area toward the identified objects based on the object information, captures images of the ground relative to the object picker as the object-collection system is guided towards the identified objects, identifies a target object in the images, tracks movement of the target object across the images as the object-collection system is guided towards the identified objects, and employs the tracked movement of the target object to instruct the object picker to pick up the target object.

Object collection system and method

An object identification method is disclosed. The method includes obtaining images of a target geographical area and telemetry information of an image-collection vehicle at a time of capture, analyzing each image to identify objects, and determining a position of the objects. The method further includes determining an image capture height, determining a position of the image using the capture height and the telemetry information, performing a transform on the image based on the capture height and the telemetry information, identifying the objects in the transformed image, determining first pixel locations of the objects within the transformed image, performing a reverse transform on the first pixel locations to determine second pixel locations in the image, and determining positions of the objects within the area based on the second pixel locations within the captured image and the determined image position.

Systems and methods to determine object position using images captured from mobile image collection vehicle

An object identification method is disclosed. The method includes training a first neural network for a first set of conditions regarding a first plurality of objects, training a second neural network for a second set of conditions regarding a second plurality of objects, receiving a plurality of target images associated with a target set of conditions in which to identify objects, analyzing the plurality of target images using the first and second neural networks to identify objects in the plurality of target images resulting in object identification information, and selecting the first neural network or the second neural network as a preferred neural network for the target set of conditions based on an analysis of the object identification information.

Object learning and identification using neural networks

An object identification and collection method is disclosed. The method includes receiving a pick-up path that identifies a route in which to guide an object-collection system over a target geographical area to pick up objects, determining a current location of the object-collection system relative to the pick-up path, and guiding the object-collection system along the pick-up path over the target geographical area based on the current location. The method further includes capturing images in a direction of movement of the object-collection system along the pick-up path, identifying a target object in the images; tracking movement of the target object through the images, determining that the target object is within range of an object picker assembly on the object-collection system based on the tracked movement of the target object, and instructing the object picker assembly to pick up the target object.

Management and display of object-collection data

A workflow project design system, method, and apparatus are disclosed. An example method includes creating a mapping between an executable version of an object-orientated process and an un-executable version of the object-orientated process. The method also includes transmitting the un-executable version of the object-orientated process and a toolset file to a client device for display in a web browser. The method further includes receiving from the client device a modify instruction to modify at least one of attributes or properties of the un-executable version of the object-orientated process and updating the executable version of the object-orientated process based on the modify instruction. Additionally, the method includes receiving an execution instruction to execute the workflow project, executing the updated executable version of the object-orientated process to generate a result of the workflow project, and transmitting to the client device the result for display within the user interface.

Workflow project design systems, apparatuses, and methods

A collaborative design system, method, and apparatus are disclosed. An example method includes receiving request messages from a first client device and a second client device requesting a workflow project for design collaboration, creating an un-executable version of the workflow project from an executable version of the workflow project, and transmitting a copy of the un-executable version of the workflow project to each of the client devices. The method further includes receiving from the first client device, an instruction that is indicative of a modification to the copy of the un-executable version of the workflow project at the first client device and transmitting the instruction to the second client device causing the second client device to modify the copy of the un-executable version of the workflow project at the second client device. Additionally, the method includes modifying the executable version of the workflow project based on the instruction.

Collaborative design systems, apparatuses, and methods

An object identification method is disclosed. The method includes training a first neural network for a first set of conditions regarding a first plurality of objects, training a second neural network for a second set of conditions regarding a second plurality of objects, receiving a plurality of target images associated with a third set of conditions in which to identify objects, analyzing the plurality of target images using the first and second neural networks to identify objects in the plurality of target images resulting in object identification information, and selecting the first neural network or the second neural network as a preferred neural network for the third set of conditions based on an analysis of the object identification information.

The present disclosure provides methods and apparatuses for exposing a workflow processes definition as a business object. Using the methods and apparatus herein, users can access a business object representing a workflow process definition from any system using standard database constructs. The data for the business object may be combined from a variety of existing sources and/or new data. Using the methods and apparatus a user may generate reports from the business object.

Methods and apparatus for exposing workflow process definitions as business objects

A collaborative design system, method, and apparatus are disclosed. An example method includes receiving request messages from a first client device and a second client device requesting a workflow project for design collaboration, creating a typescript version of the workflow project from an executable version of the workflow project, and transmitting a copy of the typescript version of the workflow project to each of the client devices. The method further includes receiving from the first client device, an instruction that is indicative of a modification to the copy of the typescript version of the workflow project at the first client device and transmitting the instruction to the second client device causing the second client device to modify the copy of the typescript version of the workflow project at the second client device. Additionally, the method includes modifying the executable version of the workflow project based on the instruction.

A method for allowing user configuration of an endpoint for consuming a business object includes: loading a definition of the business object, the definition having properties and methods; mapping the definition to endpoint-supported protocols; and allowing user configuration of the endpoint based upon at least one of: (i) services configuration, (ii) protocol configuration, or (iii) managed configuration.

Methods and apparatus for allowing user configuration of dynamic endpoint generators and dynamic remote object discovery and brokerage

The system and method disclosed herein is a dynamic endpoint generator that enables a client device or application to consume business objects. The business objects are dynamic business objects whose definitions can be changed by either adding or removing data or actions without the need to involve technical or development resources to reconfigure or recompile the actual objects. The endpoint generator provides updated endpoint information automatically without the need for manual generation of endpoint or contract data. If a business object is modified or newly added, the endpoint generator is automatically notified and publishes information about the modified or newly added object. The client device that is accessing the business object is notified about the modified or newly added object. Or, an endpoint is generated when a client device requests a business object.

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Snoqualmie, WA, United States of America

Jacobus Du Preez