3D Scan Alignment for Precise Object Damage Identification
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Solution Overview
Problem
Existing image processing techniques struggle to detect small blemishes and imperfections due to resolution and perspective limitations, while 3D scanning fails to differentiate damage from intentional features and identify damage locations efficiently, leading to inefficient utilization of computing resources.
Innovation Solution
A system combining image processing, 3D scanning, and 3D modeling aligns scan data with image data to generate virtual content that clearly depicts damaged regions on a 3D model, using machine learning models to identify and differentiate damage from intentional features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing techniques are used to detect damaged regions, then the system can identify damage locations, but small blemishes and imperfections cannot be detected due to resolution and perspective limitations
Solution Approach 1:
The patent combines image processing techniques with 3D scanning technology to create a hybrid system that leverages the strengths of both approaches. The image processing component identifies damage locations while the 3D scanning component captures detailed surface geometry including small blemishes, and the fusion of these data sources enables comprehensive damage detection that overcomes the limitations of either technique alone.
2Loss of information
If 3D scanning is used to capture object surface data, then detailed surface information is obtained, but the system cannot differentiate damage from intentional features
Solution Approach 1:
The patent introduces image processing data as an intermediary that helps interpret the 3D scanning data. The image processing component provides contextual information about what constitutes damage versus intentional features, acting as a mediator that guides the interpretation of surface geometry data. This intermediary layer enables the system to accurately differentiate between damage and intentional design features by cross-referencing visual appearance with geometric deviations.
3Measurement precision
If both image processing and 3D scanning are used separately, then each technique's limitations are overcome individually, but computing resources are utilized inefficiently
Solution Approach 1:
The patent merges image processing and 3D scanning into a unified integrated system that processes both data types simultaneously through a fused data model. This integration allows the system to achieve high detection accuracy while improving computing resource efficiency by eliminating redundant processing steps and enabling coordinated analysis of visual and geometric data streams within a single computational framework.
Data Source
AI summary
In some implementations, a device may obtain scan data associated with an object, where the scan data includes a three-dimensional representation of a surface of the object. The device may identify one or more damaged regions of the object based on the scan data. The device may align the scan data with model data associated with a three-dimensional model representative of the object. The device may generate virtual content including: an object representation that includes an overlay of the three-dimensional representation of the surface of the object on the three-dimensional model representative of the object, based on alignment of the scan data with the model data; and one or more content items indicating locations of the one or more damaged regions with respect to the object representation. The device may cause presentation of the virtual content in a user interface of a user device.