Imaging Inspection Device Perspective Correction
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Solution Overview
Problem
Existing imaging inspection devices, such as thermal imaging cameras and gas-leak detection systems, face challenges in comparing images taken at different times due to changes in recording distance and viewing direction, requiring laborious manual reworking and lacking efficient documentation for maintenance measures.
Innovation Solution
Incorporating a feature recognition unit to identify markers and features in images, along with a storage system for metadata and geometric information, which allows for automatic archiving, post-processing, and correction of perspective distortion, enabling easier comparison and documentation of inspection images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If images are taken at regular intervals for maintenance inspection, then inspection coverage is improved, but comparison difficulty increases due to changes in recording distance and viewing direction
Solution Approach 1:
The system performs preliminary actions by automatically identifying markers and features in images before comparison is needed. The feature recognition unit pre-processes images to extract and store characteristic data about markers and features, so that when images need to be compared, the preparation work is already done. This enables easy comparison of images taken at different times despite changes in recording conditions.
Solution Approach 2:
The system creates a digital copy of the essential characteristics of each image through feature extraction. Instead of comparing the actual images directly (which are affected by recording distance and viewing direction), the system extracts and stores characteristic data copies of markers and features, allowing accurate comparison of the extracted features across different images taken under varying conditions.
2Measurement precision
If manual reworking of recorded images is performed for comparison, then comparison accuracy is improved, but time consumption increases
Solution Approach 1:
The system performs self-service by automatically identifying markers and features, extracting their characteristics, and preparing comparison data without requiring manual intervention. The feature recognition unit and storage means work autonomously to process images, extract relevant information, and store it for future comparison, eliminating the need for manual reworking while maintaining high comparison accuracy.
Solution Approach 2:
The system replaces the mechanical process of manual image reworking and visual comparison with an automated computational system. The feature recognition unit uses algorithms to automatically identify and extract marker and feature characteristics, substituting the manual mechanical process of examining and reworking images with automated digital processing, thereby reducing time consumption while maintaining precision.
3Loss of information
If metadata and geometric information are stored and processed, then image documentation is improved, but device complexity increases
Solution Approach 1:
The system extracts and separates only the necessary information from the images. The feature recognition unit identifies and extracts specific characteristics of markers and features, storing only this relevant data in the storage means. By taking out only the essential geometric information and metadata rather than storing complete image data, the system maintains documentation completeness while minimizing the complexity of data management and processing.
Data Source
AI summary
In a method for recording a thermographic inspection image (14) with, for example, an imaging inspection device (20), in particular a thermal imaging camera and/or a UV camera, a pyrometer and/or an imaging gas-leak detection system, it is provided that a feature or a marker (12) is identified with a feature recognition unit, and/or the perspective distortion of a recorded image (10, 14) is calculated, and that metadata (17, 18, 19) associated with the identified feature and/or marker (12) is output with the inspection image (14), and/or the inspection image (14) corrected for the perspective distortion is output in a standard perspective or in a standard representation.