Mobile Camera Color Resolution Evaluation for Analytical Measurements
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Solution Overview
Problem
Existing methods for analytical measurements using mobile devices with cameras face challenges in accuracy and convenience due to variations in technical and optical properties of different devices, complexity of online calibration, and processing time, especially when performing handheld measurements.
Innovation Solution
A method and device for evaluating the suitability of a mobile device for analytical measurements by using a reference color field to derive color resolution information, which includes taking an image of the color field, determining color coordinates, and comparing the results with threshold values to assess the device's suitability for performing color formation reactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If online calibration is performed to improve measurement accuracy, then measurement precision is improved, but processing time and device complexity increase
Solution Approach 1:
The patent performs a suitability evaluation in advance by capturing an image of a reference color field and determining color resolution information before actual measurements. This preliminary action establishes whether the mobile device is suitable for analytical measurements, avoiding the need for time-consuming online calibration during measurement sessions while maintaining accuracy.
Solution Approach 2:
The patent replaces complex mechanical calibration systems with a simplified color-based evaluation method. By using color resolution information derived from reference color fields and comparing against threshold values, the system substitutes elaborate calibration procedures with a more efficient optical assessment approach.
2Measurement precision
If comprehensive calibration procedures are implemented to improve measurement accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the essential suitability evaluation from complex calibration procedures. By separating the critical function of determining device suitability from unnecessary calibration steps, the system maintains measurement accuracy while reducing overall device and process complexity.
Solution Approach 2:
The mobile device performs self-evaluation by capturing images of reference color fields and autonomously determining its own color resolution capabilities. This self-service approach eliminates the need for external calibration equipment and complex procedural interventions, simplifying the system while maintaining accuracy.
3Measurement precision
If multiple calibration measurements are performed to ensure accuracy, then measurement precision is improved, but time and resource requirements increase
Solution Approach 1:
The suitability evaluation is performed once in advance, establishing the device's measurement capabilities before actual analytical measurements begin. This single preliminary assessment replaces multiple repeated calibration measurements, maintaining accuracy while significantly improving productivity by reducing redundant time and resource 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 simplifies the measurement process, reduces time and resource requirements, and ensures accurate results by establishing a single suitability evaluation that applies to multiple measurements, while also detecting device degradation and eliminating the need for separate lighting devices.
Implementation Method 1
taking at least one image of at least part of the reference color field by using the camera
Implementation Method 2
the test chemical, also referred to as a test reagent, which undergo a coloration reaction in the presence of the at least one analyte to be detected
Data Source
AI summary
A method for evaluating the suitability of a mobile device having a camera for performing an analytical measurement based on a color formation reaction. A mobile device is provided and is used to take an image of a reference color field of an object. A color coordinate of pixels of a region of interest within the image is determined and a histogram analysis is performed on a distribution of the color coordinates of the pixels. The width of a color peak within the distribution from the histogram analysis is ascertained and compared with a threshold value to thereby determine suitability of the mobile device for performing the analytical measurement based on the color formation reaction.