Capacitance-Based Electronic Seal Identification System
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Solution Overview
Problem
Existing electronic seal systems are costly due to the need for power supplies and electrical circuits, and they are vulnerable to duplication issues related to signet patterns, compromising security.
Innovation Solution
A method and system using capacitance measurements with sensors to identify artificial objects by converting capacitance data into evaluation levels, determining if the capacitance distribution matches pre-registered distributions, and utilizing this process for secure authentication without the need for power supplies or electrical circuits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electronic seal systems use power supplies and electrical circuits for identification, then authentication functionality is achieved, but cost increases and device complexity increases
Solution Approach 1:
The patent extracts the identification function from complex electronic systems (power supplies, circuits) and implements it through a simple capacitance sensor that measures the natural capacitance characteristics of the seal object. This removes unnecessary components while maintaining authentication capability.
Solution Approach 2:
The seal object itself provides the identification data through its inherent capacitance properties. The system uses the seal's own electrical characteristics as the identifier, eliminating the need for external power sources or active electronic components within the seal.
2Ease of manufacture
If electronic seal systems use simple signet patterns for identification, then ease of manufacture is improved, but security deteriorates due to easy duplication
Solution Approach 1:
The patent changes the identification parameter from visual signet patterns to electrical capacitance characteristics. Capacitance values are inherently difficult to measure and replicate accurately, providing security while maintaining ease of manufacture since the seal objects themselves provide the identifying characteristics without requiring complex embedding of identification elements.
3Speed
If capacitance measurements use single evaluation level, then processing speed is improved, but measurement precision deteriorates
Solution Approach 1:
The patent transitions from single-level (binary) capacitance evaluation to multi-level evaluation, adding a dimension of precision. By dividing the capacitance range into multiple evaluation levels, the system achieves both accurate identification and acceptable processing speed through efficient multi-level comparison algorithms.
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 provides a cost-effective and secure electronic seal system that is difficult to duplicate, as the unique capacitance distribution of each object serves as a secure identifier, enhancing security features and reducing duplication risks.
Implementation Method 1
receiving capacitance data which is obtained by measuring with at least one electrodes in a sensor at least one predefined surfaces of the artificial object placed against the sensor
Data Source
AI summary
The present invention can be a method, system, and computer program product. One embodiment of the present invention provides a computer-implemented method for identifying an artificial object. The method includes receiving capacitance data which is obtained by measuring with at least one electrodes in a sensor at least one predefined surfaces of the artificial object placed against the sensor; converting each of the obtained capacitance data into an evaluation level in an evaluation system having more than two evaluation levels, to obtain a capacitance distribution on the surface of the artificial object; determining whether the obtained capacitance distribution matches a pre-registered capacitance distribution or one of pre-registered capacitance distributions; and if the determination result is positive, concluding the artificial object is identified. The method can further include identifying or performing an authentication of a user associated with the artificial object when artificial object is identified.