Multi-Camera Imaging Layout for Tunnel Panorama Setup
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Solution Overview
Problem
Existing imaging systems for tunnel structures require significant time and effort to set up multiple cameras correctly, and mistakes can lead to the need for re-imaging, especially due to varying tunnel cross-sectional shapes.
Innovation Solution
A multi-eye imaging apparatus with a control device that allows easy checking and adjustment of camera settings, including identifying overlapping and non-overlapping image regions, calculating overlap ratios, and determining appropriate settings for panoramic composition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple cameras are mounted to image tunnel structures, then imaging coverage and resolution are improved, but setup complexity and time consumption increase
Solution Approach 1:
The display device shows real-time images from multiple cameras with overlaid reference images, allowing operators to immediately see the imaging results and adjust camera positions or settings. This feedback mechanism enables quick verification of imaging quality and overlap ratios without manual measurement, reducing setup complexity while maintaining high imaging resolution.
Solution Approach 2:
The system uses reference images (copies or templates of expected imaging results) to compare against actual camera images. By overlaying reference images on the display, the system allows operators to visually verify camera positioning and imaging parameters, simplifying the setup process while ensuring high measurement precision for tunnel structure inspection.
2Manufacturing precision
If manual camera positioning is performed, then imaging accuracy is improved, but setup time increases
Solution Approach 1:
The display device provides real-time visual feedback by showing actual camera images overlaid with reference images, allowing operators to immediately see positioning accuracy. This eliminates the need for time-consuming manual measurement and adjustment, as operators can visually assess and correct positioning errors in real-time, achieving both high accuracy and reduced setup time.
Solution Approach 2:
The system prepares reference images in advance that represent the expected imaging results for proper camera positioning. These pre-prepared reference images are then overlaid on the display during setup, allowing operators to quickly verify and adjust camera positions without performing time-consuming manual measurements or calculations.
3Productivity
If camera settings are not verified, then setup speed is improved, but re-imaging due to mistakes increases
Solution Approach 1:
The display device shows real-time images from all cameras with overlaid reference images, providing immediate feedback on imaging quality and overlap. This allows operators to quickly verify camera settings and detect potential issues before finalizing the setup, ensuring reliability without significantly reducing setup speed. The visual feedback enables rapid identification and correction of mistakes.
Solution Approach 2:
The system uses pre-prepared reference images that represent correct imaging results as a checklist during setup. By comparing actual camera images against these reference images, operators can quickly verify that all camera settings are correct before proceeding to actual imaging operations, preventing mistakes without requiring extensive verification time.
Data Source
AI summary
There is provided a processing device that can easily check settings of each of a plurality of cameras in a case of performing imaging with each of the cameras. The processing device processes images captured by the plurality of cameras and includes a processor. The processor sets a plurality of independent image display regions corresponding to the plurality of cameras on a first screen and outputs the image display regions to a display destination. The processor displays the images of the plurality of cameras in the plurality of image display regions in a state where a first range in which images overlap each other between the images of the cameras adjacent to each other and a second range in which the images do not overlap each other are identifiable.