Identity Verification Application Modular Data Aggregation
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Solution Overview
Problem
There is a need for an improved identity verification application device that integrates multiple data sources to verify an individual's identity, criminal background, social media platform enrollment, and other data without requiring prior consent, while ensuring accuracy and public safety.
Innovation Solution
The identity verification application device uses a cloud-based solution with proprietary logic and APIs to send and receive data from multiple public record data sources, sanitizes user-input data, and filters out inaccurate results to provide a comprehensive report to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple data sources are integrated to verify identity and criminal background, then verification accuracy is improved, but device complexity increases
Solution Approach 1:
The verification system is segmented into multiple independent data source modules (social media platforms, criminal background databases, public record sources). Each module independently verifies specific aspects of identity, and their results are aggregated to form a comprehensive verification report, thereby improving accuracy while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The application is designed as a universal verification platform that can query multiple different types of data sources (social media, criminal records, public information) through a single integrated interface. This multi-functionality allows the system to improve verification accuracy across diverse identity aspects without requiring separate specialized systems for each data type.
2Reliability
If comprehensive background checks are conducted without prior consent, then public safety is improved, but legal compliance becomes more difficult
Solution Approach 1:
The system performs preliminary actions by querying only publicly available information from social media platforms and public record databases before any consent is required. This preliminary data collection establishes a baseline of verifiable public information that can be used for safety assessments without immediately requiring subject consent, thereby balancing public safety needs with legal compliance.
Solution Approach 2:
The application acts as an intermediary that queries public record databases and social media platforms on behalf of users, using only information that is already publicly accessible. This intermediary role allows comprehensive background checks to be conducted without direct access to private information, thereby maintaining public safety while adhering to consent requirements for non-public data.
3Measurement precision
If data sanitization and accuracy filtering are implemented, then result accuracy is improved, but processing time increases
Solution Approach 1:
Data sanitization and validation rules are applied preliminarily during the data collection phase from each source. Basic accuracy filtering is performed at the point of data retrieval rather than after all data is collected, which reduces the total processing time required for post-collection validation while still maintaining high result accuracy through early error detection.
Data Source
AI summary
An identity verification application device is disclosed that provides the ability to utilize a mobile application or website to integrate multiple data sources to verify an individual's identity, criminal background, social media platform enrollment, and other data pertaining to said individual. The identity verification application device comprises user input of data fields, directly from a user or via an API. This data is then sent to third party data sources to locate person records and/or criminal background information. The results received determine if additional third party data sources are required. After all data is received from the multiple data sources, the data is inputted into the software application platform. Final results are then received and inaccurate data is filtered out. A full report is then provided to the user.