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US Patent 11790508 Computer vision predictions for non-destructive testing

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Contents

Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11790508
Patent Inventor Names
Jeremy Vandam
Sheldon McCrackin
Date of Patent
October 17, 2023
Patent Application Number
17236465
Date Filed
April 21, 2021
Patent Citations
‌
US Patent 11579629 Temporal information prediction in autonomous machine applications
‌
US Patent 10861148 Systems and methods for improved component inspection
‌
US Patent 11567201 Laser scanner with real-time, online ego-motion estimation
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US Patent 10445871 Image analysis neural network systems
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US Patent 10621717 System and method for image-based target object inspection
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US Patent 10679066 Best image grab from video with digital grid assistance for aviation engine borescope inspection
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US Patent 10769480 Object detection method and system
Patent Primary Examiner
‌
Bobbak Safaipour
CPC Code
‌
G06T 2207/20084
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G06T 2207/10016
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G06T 7/251
‌
G06T 2207/30164
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G06T 7/0004
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G06T 2207/10068
‌
G06T 2207/20081
Patent abstract

Systems and methods for target inspection are provided. The system includes a camera, at least one sensor, and a controller. The camera acquires images of a target over time and the sensor(s) acquire motion data characterizing camera and target movement. The controller generates, using a first computer vision (CV) algorithm, an initial prediction and confidence level regarding an object of interest for a first image acquired at a first time. The controller also determines, using the motion data, a motion parameter characterizing relative motion between the camera and the target at the first time. The controller additionally receives a weighting based upon a second image acquired at a second time prior to the first time. The controller generates, using a second CV algorithm, a final prediction and confidence level for the first image based upon the first image, the initial prediction and confidence level, the motion parameter, and the weighting.

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