Multispectral Image Acquisition for Chemical State Visualization
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Solution Overview
Problem
Existing image capture technologies do not effectively utilize multispectral data to analyze the chemical and physiological state of objects, limiting their ability to provide comprehensive information beyond traditional RGB imaging.
Innovation Solution
An apparatus and electronic device equipped with a multispectral sensor that generates N channel images, selects specific wavelength bands for reference and analysis, and combines these images to generate output images that include both texture and specific object information, such as nutritional or physiological data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional RGB imaging is used, then the device complexity is low and ease of operation is high, but the measurement precision for chemical and physiological state analysis is insufficient
Solution Approach 1:
The patent divides the spectral data into multiple wavelength bands (first wavelength band for reference image, second wavelength band for object information). This segmentation allows the system to process different spectral information separately, improving analysis precision while managing computational complexity through structured data organization.
Solution Approach 2:
The patent transitions from traditional 3-channel RGB imaging to N-channel multispectral imaging, adding an additional spectral dimension. This dimensional expansion enables the system to capture both texture information (from visible light channels) and chemical/physiological state information (from spectral channels), thereby improving measurement precision without requiring a complete system redesign.
2Measurement precision
If multispectral data is fully processed to provide comprehensive object information, then the measurement precision improves, but the processing time increases
Solution Approach 1:
The patent extracts and processes only the necessary spectral bands for specific analysis objectives. By selecting a first wavelength band for reference imaging and a second wavelength band for object information extraction, the system avoids processing all possible spectral data, thereby reducing processing time while maintaining comprehensive information accuracy for the intended application.
Solution Approach 2:
The patent generates a reference image from the first wavelength band data before processing the second wavelength band for object information. This preliminary action establishes a baseline that facilitates subsequent analysis, improving processing efficiency by enabling parallel operations and reducing the computational burden for comprehensive analysis.
3Quantity of substance
If N channel images are generated from multispectral sensor, then the quantity of substance (information) increases, but the device complexity and ease of operation decrease
Solution Approach 1:
The patent assigns different functional qualities to different wavelength bands: the first wavelength band provides reference information with high spatial quality, while the second wavelength band provides spectral analysis information with high chemical/physiological quality. This local quality differentiation allows the system to manage complex N-channel data through functional specialization, making the system easier to operate by clearly defining the purpose of each data channel.
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
Enables accurate analysis of chemical and physiological states of objects by generating output images that integrate visible light texture with additional spectral data, enhancing the ability to determine properties like nutrient content or freshness.
Implementation Method 1
a multispectral sensor configured to sense light reflected from an object
Data Source
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AI summary
An apparatus for acquiring images includes a multispectral sensor configured to sense light reflected from an object, one or more processors, and a memory storing instructions that, when executed by the one or more processors, cause the apparatus to generate N channel images based on signals obtained from a plurality of channels of the multispectral sensor, select at least one first channel image corresponding to a visible wavelength band from among the N channel images, generate a reference image based on the at least one first channel image, select a second channel image from remaining channel images of the N channel images corresponding to remaining channels of the plurality of channels distinct from the at least one first channel image, generate object information by analyzing the second channel image, combine the reference image and the object information to generate an output image, and display the output image to a user.