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US Patent 11641520 Low-power, fast-response machine learning autofocus enhancements

Patent 11641520 was granted and assigned to Western Digital on May, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Western Digital
Western Digital
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Current Assignee
Western Digital
Western Digital
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
116415200
Patent Inventor Names
Xiaoyong Liu0
Kuok San Ho0
Quang Le0
Rajeev Nagabhirava0
Daniel Bai0
Date of Patent
May 2, 2023
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Patent Application Number
178494620
Date Filed
June 24, 2022
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Patent Citations
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US Patent 11438501 Image processing apparatus, and control method, and storage medium thereof
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US Patent 11048919 Person tracking across video instances
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US Patent 11048973 Action classification using aggregated background subtraction images
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US Patent 11144766 Method for fast visual data annotation
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US Patent 11184550 Image capturing apparatus capable of automatically searching for an object and control method thereof, and storage medium
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US Patent 11227388 Control method and device for mobile platform, and computer readable storage medium
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US Patent 11232554 Machine-learning based camera image triggering for quality assurance inspection processes
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US Patent 11354900 Classifiers for media content
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Patent Primary Examiner
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Pritham D Prabhakher
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CPC Code
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H04N 19/146
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H04N 7/183
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H04N 7/141
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H04N 7/188
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H04N 7/181
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H04N 9/8042
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H01L 27/222
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G06T 5/006
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Computing devices, such as mobile computing devices, have access to one or more image sensors that can capture images with multiple subjects. Some of these subjects may be known to the user capturing an image with the image sensor. The user may prefer to have the captured image data be optimized around the known subjects. Low-power, fast-response machine learning logic can be configured to allow for the generation of a plurality of inference data. This inference data can be utilized along with other sensor data, such as a motion sensor, for the generation of one or more image sensor configuration changes that may be implemented to optimize the subsequent capture of image data. This cycle of image data analysis, image sensor optimization, and subsequent capture can continue multiple times until a threshold of optimization or time is met. The captured image data optimized around the known subjects is then stored.

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