Credential Tracking via Proximity Validation
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Solution Overview
Problem
Existing credential tracking systems lack efficient methods to accurately monitor users as they enter and leave locations or events, especially in scenarios where network connectivity is unreliable and credential validation requires visual inspection without revealing user identities.
Innovation Solution
A system where client devices store and manage credentials associated with user identifiers and locations, transmitting entry and exit messages to a server upon determining proximity and time criteria, with caching for network connectivity issues, and generating visually-inspectable representations for credential authorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If credential tracking systems continuously monitor user location to accurately detect entry and exit events, then measurement precision is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic location checks triggered by credential presentation events rather than continuous monitoring. The client device obtains location information only when a credential is presented for validation, comparing it against stored location data to determine entry/exit status. This periodic action based on event triggers maintains detection accuracy while significantly reducing energy consumption compared to continuous GPS tracking.
Solution Approach 2:
The system performs preliminary actions by pre-storing credential location data and user credentials in the client device before validation events occur. When a credential is presented, the device can immediately compare current location against pre-stored reference points and determine entry/exit status without requiring continuous real-time location updates, reducing the frequency of energy-intensive location queries.
2Reliability
If the system stores detailed credential and location data locally on client devices for offline validation, then reliability is improved, but device complexity increases
Solution Approach 1:
The system extracts only the essential validation data needed for offline operation and stores it locally on client devices - specifically credential information and associated location coordinates. When validation is needed, the device uses this extracted local data to determine entry/exit status without requiring full credential verification systems or continuous server connectivity, thereby improving reliability while keeping the local data storage requirement minimal and manageable.
Solution Approach 2:
The system creates simplified copies of credential and location data that can be stored and processed locally on client devices. These copies contain the essential information needed for validation decisions (credential identifiers and location coordinates) without requiring the full complexity of the original credential verification infrastructure, enabling offline operation with reduced device complexity.
3Measurement precision
If the system transmits all location and credential data to servers for validation, then measurement precision is improved, but loss of information increases due to network connectivity issues
Solution Approach 1:
The system performs preliminary actions by pre-storing credential information and location data in the client device before network connectivity is needed. This local caching of essential data ensures that validation can proceed accurately even when network connectivity is unavailable, preventing data loss that would occur if the system waited for server confirmation for each validation event.
Solution Approach 2:
The client device performs self-service validation by using its own stored credential and location data to determine entry and exit status without requiring constant server verification. The device independently compares current location against stored reference points and generates validation results locally, ensuring tracking accuracy continues uninterrupted even when network connectivity is unreliable or unavailable.
Data Source
AI summary
In one implementation, a credential associated with a user identifier and a location is stored at a client device. A request to output a representation of the credential in a manner that enables a credential authority to validate the representation is received. Responsive to receiving the request to render the representation of the credential, a location of the client device is obtained and a determination that the location of the client device is within a predefined distance of the location associated with the credential is made. Responsive to determining that the location of the client device is within the predefined distance of the location associated with the credential, data indicating that the user has entered the location associated with the credential is stored in a memory of the client device.