Mobile App Test Strip Analysis for Pool Water
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Solution Overview
Problem
Current pool and spa test strip analysis methods rely on user comparison to reference colors, which is inaccurate and inefficient, and lack advanced analytical and control features.
Innovation Solution
A mobile phone or tablet APP analyzes pool and spa test strips using computer vision algorithms, incorporating machine-readable codes like QR codes to detect and analyze test strip colors, and transmit results for water treatment instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If user comparison to reference colors is used for test strip analysis, then the method is simple to implement, but the accuracy and reliability of the analysis deteriorates
Solution Approach 1:
The patent replaces the manual mechanical comparison process with an automated optical system. A camera captures images of the test strip, and computer vision algorithms automatically analyze the color changes on the test pads, eliminating the need for users to manually compare colors against reference charts. This substitution of manual mechanical comparison with automated optical-digital analysis resolves the contradiction by maintaining ease of use while dramatically improving measurement accuracy.
Solution Approach 2:
The patent introduces an intermediary mobile device application that acts as a mediator between the test strip and the user. The application captures the test strip image, processes it through algorithms that account for lighting conditions and color calibration, and presents the results to the user. This intermediary layer enables accurate automated analysis while keeping the user interface simple, resolving the contradiction between ease of implementation and measurement precision.
2Device complexity
If manual test strip analysis is used, then the device complexity is low, but the productivity and efficiency deteriorates
Solution Approach 1:
The patent leverages the universal capabilities of mobile devices (camera, processor, display) to perform multiple functions: capturing test strip images, processing images through computer vision algorithms, storing test results, providing real-time feedback, and even controlling pool/spa equipment. By making the mobile device perform all these functions, the system achieves high productivity without adding dedicated complex hardware for each function, thus resolving the contradiction between device complexity and productivity.
Solution Approach 2:
The system enables self-service automated analysis where the mobile device independently captures, processes, and analyzes test strip images without requiring manual intervention for color comparison or result interpretation. The computer vision algorithms automatically detect color changes, determine chemical concentrations, and provide results, significantly improving productivity while keeping the system accessible to average users through a simple interface.
3Measurement precision
If automated computer vision analysis is implemented, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent replaces complex dedicated hardware analysis systems with software-based computer vision algorithms running on mobile devices. Instead of requiring specialized optical equipment and hardware processors, the system uses the mobile device's existing camera and processor to capture and analyze test strip images. This substitution maintains high measurement precision through sophisticated image processing while avoiding the complexity of dedicated hardware systems.
Solution Approach 2:
The patent utilizes the universal processing capabilities of mobile devices to perform complex computer vision tasks. The mobile device's processor, which is designed for general-purpose computing, handles image capture, color space conversion, feature detection, and result calculation. By leveraging the existing multi-functional capabilities of mobile devices, the system achieves high measurement precision without adding dedicated complex hardware components.
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
The solution provides accurate, user-independent test strip analysis, enabling enhanced pool and spa water treatment by automating the detection and interpretation of test strip data, and integrating with cloud databases for manufacturer-specific layouts and expiration tracking.
Implementation Method 1
acquiring visual image data of the test strip via the camera
Data Source
AI summary
A mobile device reads a test strip to determine a chemical condition of a fluid. The mobile device transmits the determined chemical condition to a fluid treatment system which treats the fluid in response to the determined chemical condition.