Mobile Multi-Camera Multi-View Capture for Faster Damage Detection
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Solution Overview
Problem
Capturing images of objects for multiple purposes, such as damage detection and visual representation, often requires repeated imaging with different levels of detail, leading to increased time and cost due to the limitations of single-camera devices.
Innovation Solution
Utilizing a mobile computing device with multiple cameras configured for different levels of detail, the system captures multi-view data to create a multi-view digital media representation (MVDMR) that positions objects in a navigable three-dimensional space, allowing simultaneous capture and analysis of images from various viewpoints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple images are captured with a single camera for different purposes and levels of detail, then comprehensive visual data is obtained, but capture time and operational complexity increase
Solution Approach 1:
The imaging system is segmented into multiple cameras (e.g., wide-angle, telephoto, macro cameras) that operate simultaneously to capture different types of visual data. Each camera is dedicated to specific imaging tasks, allowing comprehensive documentation to be achieved in a single capture event rather than requiring sequential imaging with a single camera.
Solution Approach 2:
The system transitions from one-dimensional sequential imaging (single camera taking multiple photos in sequence) to multi-dimensional parallel imaging (multiple cameras capturing simultaneously from different perspectives and focal lengths). This dimensional expansion allows comprehensive visual data collection without increasing capture time.
2Loss of information
If multiple images are captured with a single camera for different levels of detail, then comprehensive visual data is obtained, but device operation complexity increases
Solution Approach 1:
Multiple camera systems and their control functions are merged into a single integrated device with unified processing. The system combines multiple cameras, processors, and software modules into one cohesive unit that automatically manages multi-purpose imaging, eliminating the need for users to operate separate devices or complex manual procedures.
Solution Approach 2:
The imaging system incorporates automatic scene analysis and camera selection capabilities that allow it to self-manage the imaging process. The device automatically determines which cameras to activate, what settings to use, and how to process the captured data, reducing operational complexity for untrained users while maintaining comprehensive documentation quality.
3Measurement precision
If detailed imaging is performed for damage detection, then detection accuracy improves, but capture time increases
Solution Approach 1:
The imaging system is segmented into specialized cameras for different detection needs (wide-angle for overall structure, telephoto for medium-range details, macro for fine surface damage). This segmentation allows simultaneous capture of multiple detail levels, achieving comprehensive damage detection documentation in a single event rather than requiring sequential detailed imaging.
Solution Approach 2:
Multiple cameras operate continuously and simultaneously to capture visual data at different levels of detail, eliminating the need to pause and switch between imaging modes. This continuous parallel operation maintains high measurement precision for damage detection while minimizing capture time.
Data Source
AI summary
A background scenery portion may be identified in each of a plurality of image sets of an object, where each image set includes images captured simultaneously from different cameras. A correspondence between the image sets may determined, where the correspondence tracks control points associated with the object and present in multiple images. A multi-view interactive digital media representation of the object that is navigable in one or more dimensions and that includes the image sets may be generated and stored.