Automated Image Quality Analysis for Camera Tunnel Systems
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Solution Overview
Problem
Current methods for evaluating camera tunnel systems rely heavily on manual analysis by skilled operators, leading to inconsistent and subjective measurements of image quality, which limits the consistency and objectivity of camera performance evaluation.
Innovation Solution
An automated system and method for image quality analysis using a test pattern within the camera tunnel system, which includes capturing an image of the test pattern, identifying it, generating image quality metrics, and adjusting camera settings to ensure optimal performance, thereby reducing operator influence and ensuring consistent and repeatable measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis by skilled operators is used, then image quality evaluation can be performed, but operator variability causes inconsistent and subjective measurements
Solution Approach 1:
The patent replaces the manual mechanical analysis process performed by operators with an automated computer-based image analysis system. The system uses software algorithms to objectively measure image quality parameters such as contrast, resolution, and focus, eliminating operator subjectivity and variability while maintaining measurement consistency across different systems and time periods.
Solution Approach 2:
The automated image analysis system performs self-evaluation of camera tunnel system performance without requiring skilled operators. The system automatically captures test pattern images, processes them through analysis algorithms, generates quality metrics, and compares results against predefined standards, enabling unskilled operators or the system itself to conduct consistent measurements.
2Reliability
If automated image analysis is implemented, then operator variability is eliminated and consistency is improved, but system complexity increases
Solution Approach 1:
The automated image analysis system is designed to perform multiple functions within a single integrated platform: capturing test images, processing and analyzing image data, generating quality metrics, comparing results against standards, and providing feedback for system adjustments. This multi-functionality reduces the need for separate manual processes and operators, improving reliability while managing complexity through consolidation.
3Loss of information
If manual inspection using software like Photoshop is used, then image features can be inspected, but subjective operator choices lead to varying results across systems
Solution Approach 1:
The patent transforms the subjective visual inspection process into an objective quantitative measurement process by changing the parameters from operator perceptions to specific measurable image quality metrics. The system measures concrete parameters such as contrast ratios, resolution values, and focus sharpness scores, eliminating subjective interpretation while maintaining analysis efficiency through automated computation.
Data Source
AI summary
A system for the automated analysis of image quality obtained by a camera in a camera tunnel system includes a test pattern on an item for placement in the camera tunnel system and an imaging subsystem configured to capture an image of the item using the camera tunnel system, wherein the image includes an image of the test pattern. The system further includes an image analysis tool configured to automatically identify and analyze the image of the test pattern for generating one or more image quality metrics.