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US Patent 11295163 Recognition of optical patterns in images acquired by a robotic device

Patent 11295163 was granted and assigned to Scandit on April, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Scandit
Scandit
0
Current Assignee
Scandit
Scandit
0
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
112951630
Patent Inventor Names
Oliver Akermann0
Thibault Priquel0
Bernd Schoner0
Luc Humair0
Date of Patent
April 5, 2022
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Patent Application Number
174683760
Date Filed
September 7, 2021
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Patent Citations
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US Patent 10818014 Image object segmentation based on temporal information
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US Patent 10452959 Multi-perspective detection of objects
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US Patent 10846561 Recognition and selection of discrete patterns within a scene or image
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US Patent 10963658 Image analysis for tracking, decoding, and positioning multiple optical patterns
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US Patent 10191242 Moveable mirror assembly for electronic device case
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US Patent 10229301 Optical code reading system with dynamic image regionalization
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US Patent 10426442 Adaptive image processing in assisted reproductive imaging modalities
Patent Citations Received
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US Patent 12125136 Transferring data from vehicles
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US Patent 11599746 Label shift detection and adjustment in predictive modeling
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US Patent 11803719 Performance improvements for recognition of optical patterns in images using incremental magnification
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US Patent 11869134 Transferring data from autonomous vehicles
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US Patent 11915192 Systems, devices, and methods for scanning a shopping space
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US Patent 11935376 Using low-resolution images to detect products and high-resolution images to detect product ID
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US Patent 12014320 Systems, devices, and methods for estimating stock level with depth sensor
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US Patent 11514665 Mapping optical-code images to an overview image
Patent Primary Examiner
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Seyed H Azarian
0

A camera on a robot is used to acquire images of a shelving unit. Locations of labels are detected and cropped from the images to form segments. The segments are analyzed to obtain scan descriptions, without decoding barcodes on the labels. The scan descriptions are compared to catalog descriptions to match scan descriptions to catalog descriptions. Products can then be mapped within an environment.

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