Graphene Membrane Smartcard for Multimodal Skin Authentication
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current smartphones using traditional materials like aluminum and indium parts sandwiched between silicon wafers lack deep granular scanning and imaging abilities, making them inadequate for accurate and efficient communication with human skin neurons, which is crucial for biometric data acquisition in secure electronic transactions.
Innovation Solution
A smartcard with a graphene substrate integrating optical, ultrasound, and capacitance sensors for high-resolution biometric data capture, combined with a distributed computing system for enhanced biometric and psychological profiling, utilizing graphene's unique properties for seamless sensory and communication interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional materials like aluminum and indium parts sandwiched between silicon wafers are used in smartphones, then the device structure is simple and manufacturing is easier, but deep granular scanning and imaging abilities are lacking
Solution Approach 1:
The patent employs a multi-layer composite structure comprising silicon wafer, aluminum layer, indium layer, and graphene layer. Each material contributes specific properties: silicon provides structural base, aluminum offers conductivity, indium enables neuronal interaction, and graphene delivers unobstructed optical and ultrasound transmission. This composite approach resolves the contradiction by achieving advanced imaging capabilities through material composition rather than structural complexity.
Solution Approach 2:
The patent applies different material properties to different functional regions: the graphene layer specifically targets optical and ultrasound transmission zones, while the indium-aluminum-silicon stack handles electrical capacitance sensing. This localized functional assignment enables deep granular scanning capabilities without requiring the entire device structure to be complex.
2Reliability
If traditional smartphone materials are used, then manufacturing is easier and device simplicity is maintained, but accurate communication with human skin neurons is insufficient
Solution Approach 1:
The patent uses a composite material stack where indium provides neuronal communication capability, aluminum offers electrical conductivity, and silicon provides structural support. This combination achieves reliable neuron communication while maintaining compatibility with existing semiconductor manufacturing processes, thus balancing reliability improvement with manufacturing feasibility.
Solution Approach 2:
The indium layer acts as an intermediary between the electronic components (aluminum and silicon) and the human skin neurons. It facilitates accurate communication by serving as a specialized interface layer that interacts with neuronal structures, while the underlying aluminum-silicon stack provides the necessary electrical and structural support.
3Measurement precision
If traditional materials are used in smartphones, then the device structure is simpler, but unobstructed optical, ultrasound, and capacitance sensing is not achieved
Solution Approach 1:
The patent integrates multiple sensing modalities (optical, ultrasound, capacitance) through a composite material structure. Graphene enables unobstructed optical and ultrasound transmission, while the indium-aluminum-silicon stack provides capacitance sensing capability. This material composite approach achieves multi-modal biometric data capture within a unified structure, reducing the need for separate sensor assemblies.
Solution Approach 2:
The composite material stack serves multiple sensing functions simultaneously: the graphene layer handles optical and ultrasound transmission, while the indium-aluminum-silicon structure provides capacitance sensing. This multi-functionality is achieved within a single integrated layer structure, avoiding the need for separate sensor assemblies and reducing overall device 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 provides high-resolution biometric data capture and psychological profiling, ensuring accurate authentication and preventing impersonation, while maintaining human control over technological interactions, with enhanced data transmission and processing capabilities.
Implementation Method 1
graphene membrane for unobstructed optical, ultrasound, and capacitance sensory and communication
Implementation Method 2
graphene membrane for unobstructed optical, ultrasound, and capacitance sensory and communication
Implementation Method 3
optical, ultrasound, and capacitance sensors captures high-resolution biometric data
Data Source
AI summary
This invention relates to a system and method for human authentication utilizing a graphene membrane for human skin scanning, imaging, and communication to determine unique neuron patterns for use in authentication and psychological profiling. The system employs a graphene membrane, which integrates unobstructed optical, ultrasound, and capacitance sensors within a distributed computing smartcard format device. The graphene membrane optical sensors capture high-resolution images of fingerprint ridges and valleys, while the ultrasound sensors generate detailed 3D maps of both surface and subsurface skin structures. Capacitance sensors measure the electrical properties of the skin, further enhancing the biometric data obtained. The biometric data is combined and used to identify distinct neuron patterns embedded in the skin. The system may be manufactured in compact card format and durable, ensuring seamless integration into standard identification card formats and to act as a consensus node for Proof-of-KYC (Know Your Customer).