Capacitive Ring Sizing for Multi-Point Finger Fit Detection
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Solution Overview
Problem
Traditional ring sizing methods are labor-intensive, lack accuracy, and fail to consider anatomical intricacies of the human finger, leading to inconsistent results and dissatisfaction among customers.
Innovation Solution
A capacitive sensing ring-sizing system that uses capacitive sensors embedded in rings to measure capacitance shift and pressure at multiple points on the finger, providing real-time feedback on ring fit through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual ring sizing tools are used, then the system is simple and easy to manufacture, but the measurement precision and reliability are poor due to subjective evaluation and manual errors
Solution Approach 1:
The patent replaces manual mechanical measurement tools with capacitive sensors that electronically detect finger characteristics. The capacitive sensing system substitutes subjective manual assessment with objective electrical field-based measurement, achieving precise ring sizing through automated capacitance readings rather than human judgment.
Solution Approach 2:
The system enables users to perform self-measurement by placing their finger on the capacitive sensor, which automatically captures biometric data and determines ring size without requiring assistance from jewelry staff. The processor autonomously analyzes the capacitance values and provides sizing recommendations, making the measurement process independent and self-sufficient.
2Adaptability or versatility
If conventional circumference measurement methods are used, then the device is simple, but it fails to account for anatomical variations in finger shape, leading to poor fit characteristics
Solution Approach 1:
The patent divides the finger measurement into multiple discrete capacitive sensing zones arranged in a matrix pattern. Instead of a single circumference measurement, the system segments the finger surface into multiple measurement points that independently detect local characteristics, enabling comprehensive analysis of finger anatomy including knuckle prominence and contour variations.
Solution Approach 2:
The system transitions from one-dimensional circumference measurement to two-dimensional surface mapping by arranging capacitive sensors in a matrix grid. This dimensional expansion allows the system to capture spatial variations across the finger surface, detecting anatomical features such as knuckle height, finger width variations, and local pressure points that single-point measurements cannot detect.
3Measurement precision
If multiple sophisticated computational methods like 3D scanning and machine learning are used, then measurement precision improves, but the device complexity and computational requirements increase significantly
Solution Approach 1:
The patent extracts only the essential capacitive measurement data needed for ring sizing from the complex array of sensor readings. Rather than processing all possible biometric information, the system selectively focuses on capacitance values that directly correlate with finger dimensions and anatomy relevant to ring fit, filtering out extraneous data to simplify computation while maintaining accuracy.
Solution Approach 2:
The system transforms raw capacitive sensor readings into meaningful sizing parameters through calibrated conversion algorithms. By establishing predetermined relationships between capacitance values and finger dimensions, the system converts complex electrical measurements into straightforward ring size recommendations, reducing computational burden while preserving measurement precision.
4Productivity
If real-time capacitive sensing is implemented, then feedback speed and productivity improve, but the device complexity and manufacturing costs increase
Solution Approach 1:
The system performs preliminary calibration and establishes predetermined capacitance thresholds during manufacturing or initial setup. By pre-configuring the relationship between capacitance readings and ring sizes, the system eliminates the need for complex real-time computational algorithms, enabling rapid sizing decisions through simple threshold comparisons that reduce processing time and electronic complexity.
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 system offers precise and accurate ring sizing, eliminating subjective errors and providing instant, data-driven insights, enhancing customer experience and improving fit characteristics.
Implementation Method 1
measuring a capacitance shift and a pressure at a plurality of pressure points with respect to a skin of the finger based on the sensor data
Data Source
AI summary
Present disclosure discloses a capacitive sensing ring-sizing system. The capacitive sensing ring-sizing system is an advanced device that revolutionizes the ring sizing experience through its integration of sensor technology, wired rings, and a custom-built electronic system. It provides real-time feedback on ring fit, enabling users to find their perfect size with precision and simplicity. According to an embodiment, the capacitive sensing ring-sizing system uses capacitive sensors embedded in the ring to determine how well the ring fits on a finger. Rather than taking physical measurements of the finger size like circumference or diameter, the capacitive sensing ring-sizing system uses changes in capacitance caused by the interaction between the ring, the finger, and the skin's dielectric properties.