Spectroscopic Camera Auto-Calibration via RGB Imaging Conditions
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Solution Overview
Problem
Existing imaging apparatuses with RGB and spectroscopic cameras require complex and user-specialized settings for spectroscopic camera conditions, impairing convenience due to the need for multiple wavelength calibrations and specialized knowledge.
Innovation Solution
An imaging apparatus with a color filter-based RGB camera and a spectroscopic camera featuring a variable wavelength Fabry-Perot element, where the spectroscopic camera's imaging conditions are automatically set based on the RGB camera's conditions using a correction coefficient, allowing for simplified operation without specialized knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individual imaging conditions are set for both RGB camera and spectroscopic camera, then imaging quality can be optimized, but operation convenience deteriorates due to complex calibration requirements and specialized knowledge needed
Solution Approach 1:
The spectroscopic camera automatically sets its imaging conditions based on the RGB camera's conditions, eliminating the need for manual calibration and specialized knowledge. The system performs self-configuration by deriving spectroscopic camera parameters from the already-optimized RGB camera settings, making the system easy to use while maintaining imaging quality.
Solution Approach 2:
The invention changes the approach to parameter setting by using the RGB camera's imaging conditions as a baseline and adjusting them to obtain spectroscopic camera conditions. This parameter derivation method transforms complex calibration into a straightforward automatic process, improving ease of operation while preserving imaging quality through mathematically sound parameter transformation.
2Measurement precision
If manual calibration with predetermined target objects is performed for spectroscopic camera, then imaging precision is improved, but device complexity and time consumption increase
Solution Approach 1:
The system performs preliminary action by pre-establishing the relationship between RGB camera conditions and spectroscopic camera conditions through mathematical modeling. This preliminary derivation of parameter relationships eliminates the need for time-consuming manual calibration during actual use, achieving both precision and time efficiency.
Solution Approach 2:
The invention replaces the mechanical/manual calibration process with an automated computational approach. Instead of physically calibrating with target objects, the system uses algorithmic parameter derivation from RGB camera conditions to automatically configure the spectroscopic camera, significantly reducing time consumption while maintaining precision.
3Manufacturing precision
If specialized knowledge is required for setting spectroscopic camera conditions, then imaging accuracy is improved, but ease of operation deteriorates for general users
Solution Approach 1:
The spectroscopic camera performs self-configuration by automatically deriving its imaging conditions from the RGB camera's conditions. This eliminates the need for users to possess specialized knowledge about spectroscopic calibration, making the system accessible to general users while maintaining imaging accuracy through automated computational methods.
Solution Approach 2:
The RGB camera's imaging conditions serve as an intermediary that bridges the gap between general user operation and precise spectroscopic imaging. By using the RGB camera settings as a intermediary baseline, the system translates simple user operations into accurate spectroscopic measurements without requiring users to understand complex calibration procedures.
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 solution enhances user convenience by automating the setting of spectroscopic camera conditions, reducing the need for complex calibration and specialized knowledge, and effectively preventing image halation by optimizing exposure time.
Implementation Method 1
a spectroscopic element configured to disperse light having a predetermined spectral wavelength from incident light and to change the spectral wavelength to four or more wavelengths
Implementation Method 2
a color filter portion including a red color filter that transmits light in a red wavelength region, a green color filter that transmits light in a green wavelength region, and a blue color filter that transmits light in a blue wavelength region
Data Source
AI summary
An imaging apparatus includes a first camera, a second camera, a first imaging condition setting portion, and a second imaging condition setting portion. The first camera includes a color filter portion and a first light receiving portion receiving light transmitted through the color filter portion, and which captures a color imaged. The second camera includes a spectroscopic element to disperse light having a predetermined spectral wavelength from incident light and to change the spectral wavelength to four or more wavelengths, and a second light receiving portion to receive the light dispersed by the spectroscopic element and capture a spectroscopic image of each wavelength dispersed by the spectroscopic element; The first imaging condition setting portion sets a first imaging condition for the first camera. The second imaging condition setting portion sets a second imaging condition for the second camera based on the first imaging condition.