Automated Location Verification Using Segmented IoT Verifiers
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Solution Overview
Problem
Current location verification systems often require multiple sources and independent third parties for verification, which can be complex and lack confidence in legitimacy, especially for tracking and legal purposes.
Innovation Solution
A system that utilizes a hardware device with a computer processor to monitor and verify location requests, detect verification data from devices within a specified perimeter, acknowledge receipt, store data, and provide compensation, leveraging IoT and blockchain for immutable proof of entity location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sources and independent third parties are used for verification, then reliability of location verification is improved, but device complexity and process complexity increase
Solution Approach 1:
The verification system is segmented into independent components: location requests are divided into multiple verification data points from different sources, each verified independently before being combined to form the complete verification record. This allows multiple verifiers to work independently while maintaining system organization.
Solution Approach 2:
A centralized processing system acts as an intermediary that receives verification data from multiple independent sources, validates each source's credentials, cross-references location information, and consolidates results. This mediator coordinates the complex interactions between multiple verifiers without requiring direct peer-to-peer complexity.
2Reliability
If multiple verification sources are required, then confidence in location legitimacy is improved, but loss of time in verification process increases
Solution Approach 1:
The system performs preliminary actions by pre-validating verifier credentials and establishing verification protocols before actual location verification begins. This preparation work is done in advance so that when multiple verifiers are activated, they can immediately contribute validated data without sequential approval delays.
Solution Approach 2:
Multiple verification sources operate simultaneously and continuously rather than sequentially. The system maintains continuous monitoring and verification processes where multiple independent verifiers work in parallel, continuously contributing location data without interruption or waiting for previous verifiers to complete.
3Reliability
If independent third parties are used for verification, then objectivity of verification is improved, but device complexity and coordination requirements worsen
Solution Approach 1:
The verification system implements universal protocols and standardized data formats that work across all independent verifier sources. This multi-functionality allows different types of verifiers (individuals, devices, systems) to contribute using the same verification framework, reducing coordination complexity despite diverse participant types.
Data Source
AI summary
A method and system for verifying a location of an entity is provided. The method includes monitoring a request broadcast by an entity for verifying a first location of the entity. The request is detected as being received and verification data indicating that the entity has been located at the first location during a specified timeframe is received. A resulting acknowledgement is transmitted, and the verification data is stored in a database. A compensation indication associated with providing the verification data is transmitted to a device.