Luminous Imaging Target for Accurate Dirt Detection
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Solution Overview
Problem
It is difficult to determine the state of dirt on imaging targets in image data captured by imaging devices due to similar color tones between the dirt and the imaging target surfaces.
Innovation Solution
The air treatment device employs a luminous portion on the imaging target that emits visible light, allowing the imaging device to capture images with differences in light emission, facilitating the determination of dirt presence and location by contrasting clean and dirty areas based on emission color visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional imaging is used to capture images of imaging targets, then the imaging device can capture images, but it is difficult to determine the state of dirt when dirt color matches the target surface color
Solution Approach 1:
The patent applies color changes by using a luminous portion that emits visible light with a specific emission color (e.g., green or blue) on the imaging target. When the imaging device captures images, clean areas showing the emission color differ from dirty areas where the emission color is blocked or diminished. This color-based differentiation enables accurate dirt detection even when dirt color matches the target surface color in conventional imaging.
2Measurement precision
If a luminous portion emitting visible light is added to the imaging target, then dirt detection accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent applies local quality by adding the luminous portion only to specific areas of the imaging target where dirt detection is needed, rather than making the entire system complex. The luminous portion is integrated into the imaging target structure at strategic locations, providing enhanced dirt detection capability locally while maintaining overall system simplicity.
3Measurement precision
If the imaging device captures images with luminous portion emission, then visual differentiation between clean and dirty areas is improved, but the illumination intensity requirements increase
Solution Approach 1:
The patent applies parameter changes by optimizing the emission characteristics of the luminous portion, including emission color wavelength, intensity, and duration. By carefully selecting and adjusting these parameters, the system achieves clear visual differentiation between clean and dirty areas without requiring excessive illumination intensity, thus balancing detection accuracy with energy consumption.
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
This approach enhances the accuracy of dirt detection by providing clear visual differentiation between clean and dirty areas, even when dirt colors match the target surface, reducing ambiguity and improving maintenance efficiency.
Implementation Method 1
the luminous portion (75) of the imaging target emits visible light from the surface of the imaging target (50)
Implementation Method 2
when light from the first light source (72) is emitted onto the luminous portion (75), the luminous portion (75) stored the light. The luminous portion (75) emits the stored light as visible light
Data Source
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AI summary
An imaging target (50) includes a light emitter (E) configured to emit visible light from a surface of the imaging target (50), and an imaging device (70) captures an image of at least the light emitter (E) of the imaging target (50) and acquires image data including the light emitter (E).