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US Patent 10185892 Automatic large-scale imaging device diagnostics

Patent 10185892 was granted and assigned to Amazon on January, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Current Assignee
Amazon
Amazon
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
101858920
Patent Inventor Names
Jonathan Robert Dughi0
Pragyana K. Mishra0
Danny Guan0
David Joseph Rendleman0
Date of Patent
January 22, 2019
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Patent Application Number
142910860
Date Filed
May 30, 2014
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Patent Citations Received
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US Patent 11997252 Validation of a camera cleaning system
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US Patent 10776911 Information processing apparatus, identification system, setting method, and program
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US Patent 11562179 Artificial intelligence system for inspecting image reliability
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US Patent 10824915 Artificial intelligence system for inspecting image reliability
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US Patent 10867217 Fusion of visual and non-visual information for training deep learning models
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US Patent 10922803 Determining clean or dirty captured images
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US Patent 11373115 Asynchronous parameter aggregation for machine learning
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US Patent 11475680 Cargo sensor system implemented using neural network
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Patent Primary Examiner
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Allen C Wong
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Patent abstract

Diagnostics may be performed on imaging devices such as digital cameras that are provided in large numbers, or mounted in arrays or networks, by providing imaging data captured from such devices to a machine learning system or classifier that has been trained to recognize anomalies based on imaging data. The machine learning system or classifier may be trained using a training set of imaging data previously captured by one or more imaging devices that has been labeled with regard to whether such imaging devices encountered any anomalies when the imaging data was captured, and if so, which anomalies were encountered. Additionally, a perceptual score which represents the quality of a given image or imaging data may be calculated and used to rank or define the image or imaging data in terms of quality, or determine whether the image or imaging data is suitable for its intended purpose.

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