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US Patent 10571454 Method of board lumber grading using deep learning techniques

Patent 10571454 was granted and assigned to Lucidyne Technologies, Inc. on February, 2020 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
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Lucidyne Technologies, Inc.
Current Assignee
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Lucidyne Technologies, Inc.
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10571454
Date of Patent
February 25, 2020
Patent Application Number
16082103
Date Filed
March 5, 2018
Patent Citations
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US Patent 10019657 Joint depth estimation and semantic segmentation from a single image
Patent Citations Received
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US Patent 11842272 Computer-implemented method for training or using a software infrastructure based on machine-learning techniques
0
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US Patent 10830755 Board lumber grading using deep learning semantic segmentation techniques
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US Patent 11450008 Segmentation using attention-weighted loss and discriminative feature learning
Patent Primary Examiner
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Bernard Krasnic
Patent abstract

A method of board lumber grading is performed in an industrial environment on a machine learning framework configured as an interface to a machine learning-based deep convolutional network that is trained end-to-end, pixels-to-pixels on semantic segmentation. The method uses deep learning techniques that are applied to semantic segmentation to delineate board lumber characteristics, including their sizes and boundaries.

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