Deterioration Measurement Using Controlled Spectral Imaging
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Solution Overview
Problem
Existing methods fail to accurately measure the deterioration of objects, especially those difficult to access, by reliably capturing changes in spectral characteristics over time due to environmental influences like sunlight.
Innovation Solution
A system comprising a receiving unit and a change acquiring unit that compares ratios of specific color data from image captures under controlled conditions without sunlight influence, using a light source with known spectral characteristics to assess changes in objects like signboards, which includes a CPU for processing and outputting deterioration levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to measure deterioration of objects, then measurement can be performed, but measurement precision is insufficient due to inability to reliably capture spectral characteristic changes
Solution Approach 1:
The patent applies preliminary action by capturing image data of the object under controlled lighting conditions (without sunlight influence) at the initial state before deterioration occurs. This baseline image data is stored and later compared with subsequent image data to accurately measure spectral characteristic changes. The controlled initial capture ensures a reliable reference point for detecting deterioration.
Solution Approach 2:
The patent utilizes parameter changes by measuring variations in spectral characteristics (color ratios of specific wavelengths) of the object over time. By comparing the ratio of first data on a first specific color to second data on a second specific color between initial and current image data, the system detects deterioration through quantitative spectral parameter changes while eliminating sunlight interference.
2Illumination intensity
If sunlight is present during image capture, then natural lighting is available, but measurement precision deteriorates due to unwanted spectral influence
Solution Approach 1:
The patent applies the taking out principle by explicitly excluding sunlight influence from the image capture process. The receiving unit is configured to receive image data obtained under conditions with no sunlight influence, thereby extracting only the spectral characteristics caused by the controlled light source. This eliminates the harmful spectral components of sunlight that would otherwise interfere with accurate deterioration measurement.
Solution Approach 2:
The patent creates an inert environment by establishing controlled lighting conditions without sunlight during image capture. This controlled environment ensures that only the known spectral characteristics of the artificial light source interact with the object, creating a stable and predictable measurement condition that eliminates the variable and harmful spectral influences of natural sunlight.
3Ease of operation
If objects are difficult to access, then measurement coverage is limited, but measurement precision can be maintained with proper methodology
Solution Approach 1:
The patent applies the copying principle by creating digital image data copies of the object under controlled conditions. Instead of requiring physical access to the object for repeated measurements, the system captures and stores image data that can be analyzed multiple times. This allows distant or difficult-to-access objects to be measured accurately through their digital representations, maintaining measurement precision without requiring direct physical access.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively measures object deterioration by comparing spectral characteristics before and after aging, providing accurate and reliable results through controlled image data processing, enabling timely maintenance or repair decisions.
Implementation Method 1
image data obtained by capturing an object, through or from which a light source having a known spectral characteristic is transmitted or reflected
Data Source
AI summary
A change degree deriving apparatus includes a receiving unit and a change acquiring unit. The receiving unit receives image data and new product image data. The image data is obtained by capturing an object, through/from which a light source having a known spectral characteristic is transmitted/reflected, under a condition with no influence of sunlight. The new product image data is obtained by capturing the object in a new product state under an identical condition. The change acquiring unit acquires a change degree of the object by comparing a ratio of first data on a first specific color to second data on a second specific color that is different from the first specific color in relation to the received image data, with a ratio of third data on the first specific color to fourth data on the second specific color in relation to the received new product image data.