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US Patent 11836937 System and method for dimensioning target objects

Patent 11836937 was granted and assigned to Zebra Technologies on December, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Zebra Technologies
Zebra Technologies
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Current Assignee
Zebra Technologies
Zebra Technologies
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118369370
Patent Inventor Names
Raveen T. Thrimawithana0
Date of Patent
December 5, 2023
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Patent Application Number
173842120
Date Filed
July 23, 2021
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Patent Citations
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US Patent 10332309 Method and apparatus for identifying buildings in textured 3D mesh data and generating 3D building models
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US Patent 10482681 Recognition-based object segmentation of a 3-dimensional image
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US Patent 10572763 Method and apparatus for support surface edge detection
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US Patent 11348269 Method and apparatus for combining data to construct a floor plan
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US Patent 11544167 Systems and methods for generating synthetic sensor data via machine learning
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US Patent 9234782 Volume dimensioning system and method employing time-of-flight camera
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US Patent 9607207 Plane-fitting edge detection
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US Patent 10165176 Methods, systems, and computer readable media for leveraging user gaze in user monitoring subregion selection systems
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Patent Primary Examiner
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Gregory M Desire
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CPC Code
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G05D 1/0251
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G05D 1/027
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G06T 2207/10028
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G06T 7/521
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G06K 9/6284
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G05D 1/0236
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Patent abstract

A method comprising obtaining, from a sensor, depth data representing a target object; selecting a model to fit to the depth data; for each data point in the depth data: defining a ray from a location of the sensor to the data point; and determining an error based on a distance from the data point to the model along the ray; when the depth data does not meet a similarity threshold for the model based on the determined errors, selecting a new model and repeating the error determination for the depth data based on the new model; when the depth data meets the similarity threshold for the model, selecting the model as representing the target object; and outputting the selected model representing the target object.

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