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US Patent 11337432 Automated crab meat picking system and method

Patent 11337432 was granted and assigned to University of Maryland, College Park on May, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
University of Maryland, College Park
University of Maryland, College Park
Current Assignee
University of Maryland, College Park
University of Maryland, College Park
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11337432
Patent Inventor Names
Yang Tao0
Dongyi Wang0
Gary E. Seibel0
Maxwell Holmes0
Robert Vinson0
Date of Patent
May 24, 2022
Patent Application Number
16373979
Date Filed
April 3, 2019
Patent Citations Received
‌
US Patent 11587219 Method and apparatus for detecting pixel defect of optical module, and device
0
Patent Primary Examiner
‌
David J Parsley
CPC Code
‌
A22C 29/02
‌
A22C 29/025
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A22C 29/023
‌
A22C 29/00
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A22C 29/005

A vision guided intelligent system for automated crab meat picking operates in a fully automated or semi-automatic modes of operation using a crab meat picking routine based on (a) the CNN model localization of back-fin knuckles algorithm, and/or (b) the Deep Learning model which accurately locates not only knuckle positions, but also crab legs and crab cores, with a high pixel accuracy (up to 0.9843), and low computation time. The subject system uses a concept of analyzing crab morphologies obtained from digital crab images, and, using a Deep Learning architecture integrated in the system, segments crab images into five regions of interest in a single step with high accuracy and efficiency. The image segmentation results are used for generating crab cut lines in XYZ and angular directions, determining starting cutting points in Z plane, and guiding cutting tools and end effectors to automatically cut crabs and harvest crab meat.

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