Verified Group Profiles Using OCR and Blockchain Validation
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Solution Overview
Problem
Current systems fail to provide fluid processes for grouping related user accounts, leading to difficulties in identifying linked accounts, data corruption, and fraud, especially in verifying relationships between members without manual entry.
Innovation Solution
Utilizing a secure blockchain and techniques like optical character recognition (OCR) for identity verification and relationship validation, generating group profiles that combine individual data without direct user confirmation, thereby reducing fraud and corruption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual entry and confirmation of data by each member is used for relationship validation, then relationship verification can be achieved, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The system automatically performs relationship validation by having members upload identification documents that are processed through OCR and blockchain verification. The validation process serves itself by using the members' own documents and biometric data without requiring manual verification by other members, thus eliminating time-consuming manual entry while maintaining high reliability through automated cryptographic verification.
Solution Approach 2:
The patent replaces manual mechanical verification processes with automated optical character recognition (OCR) technology and blockchain-based cryptographic verification. The OCR system automatically extracts data from uploaded identification documents, and the blockchain system automatically verifies relationships through smart contracts, substituting the manual mechanical process of data entry and confirmation with automated technological systems that are both faster and more reliable.
2Ease of manufacture
If current systems are used for grouping members, then individual profiles can be established, but fluid processes for grouping related accounts after establishment are not allowed
Solution Approach 1:
The system implements dynamic grouping capabilities where members can be added to or removed from groups at any time after individual profiles are established. The blockchain-based architecture allows for flexible smart contracts that can dynamically create, modify, and dissolve group relationships without requiring system reconfiguration, enabling fluid adaptation to changing membership needs while maintaining the simplicity of initial profile setup.
3Quantity of substance
If manual data entry processes are used for relationship validation, then relationship data can be collected, but the system becomes prone to data corruption and fraud
Solution Approach 1:
The patent replaces manual data entry with automated optical character recognition (OCR) technology that extracts relationship data directly from uploaded identification documents. This automated process eliminates human error and manipulation, ensuring data integrity. The extracted data is then stored on a blockchain with cryptographic verification, creating an immutable record that prevents data corruption and fraud while collecting comprehensive relationship information.
Solution Approach 2:
The system introduces blockchain technology as an intermediary between data collection and storage. The blockchain acts as a trusted mediator that automatically verifies the authenticity of relationship data through cryptographic protocols and smart contracts before storing it immutably. This intermediary layer ensures that relationship data collected through automated OCR processes maintains high integrity and cannot be corrupted or falsified.
4Measurement precision
If direct user confirmation is required for group profile generation, then data accuracy can be ensured, but the process efficiency decreases
Solution Approach 1:
The patent replaces the need for direct user confirmation with automated cryptographic verification through blockchain smart contracts. The system uses OCR to extract data from identification documents and automatically verifies its accuracy through blockchain validation protocols. This automated verification mechanism maintains high data accuracy by cryptographically ensuring the authenticity of uploaded documents while eliminating the time-consuming step of requiring direct user confirmation for each data point.
Data Source
AI summary
Disclosed are various embodiments for generating a group activity profile. To begin, a computing device can receive a request to establish a relationship between a first user and a second user. The computing device can receive one or more identifiers associated with the first user. Then, the computing device can verify the relationship between the first user and the second user based at least in part on the one or more identifiers. Next, the computing device can receive consent to establish the relationship. Finally, the computing device can generate a relationship profile comprising at least first user data associated with the first user and second user data associated with the second user.