Enrollment Data Management via Sensor-Based Verification
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Solution Overview
Problem
Current enrollment processes for individuals are inefficient and require manual submission of personal information, which can be cumbersome and may not adequately verify residential addresses for regulatory compliance.
Innovation Solution
An enrollment data management system that utilizes sensor data from various locations and mobile device data to determine enrollment information, including residential addresses, by analyzing patterns of behavior such as presence and location, and generates enrollment forms for efficient and verified enrollment processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual submission of personal information is required, then data accuracy can be verified, but the enrollment process becomes cumbersome and inefficient
Solution Approach 1:
The system automatically collects sensor data from the individual's environment and mobile device data to generate enrollment information without requiring manual input from the individual. The system serves itself by autonomously gathering, analyzing, and verifying data to complete the enrollment process.
Solution Approach 2:
Sensor data is collected and analyzed in advance to determine residential address and other enrollment information before the actual enrollment transaction occurs. This preliminary data gathering eliminates the need for manual submission during the enrollment process.
2Reliability
If traditional verification methods are used, then regulatory compliance can be achieved, but the process requires extensive manual review and time
Solution Approach 1:
The patent replaces manual verification processes with automated sensor-based detection and analysis systems. Sensors continuously monitor environmental data and mobile device signals to automatically verify residential address and individual identity, substituting human reviewers with computational analysis.
Solution Approach 2:
The system continuously analyzes sensor data and mobile device data to provide real-time verification feedback on whether the collected information meets regulatory requirements. This automated feedback loop ensures compliance without manual intervention while rapidly identifying any deficiencies in the collected data.
3Extent of automation
If sensor data collection is implemented, then automated enrollment information generation is achieved, but system complexity increases
Solution Approach 1:
The system employs multi-functional sensors that can detect various types of data including location, presence, and environmental conditions. These universal sensors serve multiple purposes in the enrollment process, reducing the need for specialized equipment and simplifying the overall system architecture despite the high level of automation.
Data Source
AI summary
An enrollment data management system includes one or more processors and memory storing instructions executable by the one or more processors to cause the one or more processors to receive sensor data from one or more sensors located at a property, wherein the sensor data indicates a plurality of individual detection events that each indicate presence of an individual at the property. The instructions are executable by the one or more processors to cause the one or more processors to analyze the sensor data to determine that the property qualifies as a residence of the individual, access information relevant to the property from one or more databases, utilize the information relevant to the property as enrollment information for an enrollment process for the individual.