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US Patent 11887064 Deep learning-based system and method for automatically determining degree of damage to each area of vehicle

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Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118870640
Patent Inventor Names
Byung Sun Bae0
Tae Youn Kim0
Jin Sol Eo0
Date of Patent
January 30, 2024
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Patent Application Number
173620130
Date Filed
June 29, 2021
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Patent Citations
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US Patent 11144889 Automatic assessment of damage and repair costs in vehicles
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US Patent 11361428 Technology for analyzing images depicting vehicles according to base image models
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US Patent 11288789 Systems and methods for repairing a damaged vehicle using image processing
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US Patent 11682080 Structural characteristic extraction using drone-generated 3D image data
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US Patent 9886771 Heat map of vehicle damage
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US Patent 10817956 Image-based vehicle damage determining method and apparatus, and electronic device
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Patent Primary Examiner
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Anand P Bhatnagar
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Patent abstract

The present invention relates to a deep-learning based system and method of automatically determining a degree of damage to each area of a vehicle, which is capable of quickly calculating a consistent and reliable quote for vehicle repair by analyzing an image of a vehicle in an accident by using a deep learning-based Mark R-CNN framework and then extracting a component image corresponding to a damaged part, and automatically determining the degree of damage in the extracted component image based on a pre-trained model.

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