RF Location Tag System for Crowded Venue Service Efficiency
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Solution Overview
Problem
Existing location systems face challenges in efficiently providing real-time location data and enhancing services to individuals in crowded environments like concerts, sporting events, and conventions, due to difficulties in locating persons, facilities, and services, and long wait times for merchandise and services.
Innovation Solution
A radio frequency locating system that collects and analyzes location data to provide enhanced services by transmitting blink data, correlating tag and merchant location data, and enabling payment authorization, thereby allowing users to select and pay for services or merchandise remotely, and receive transaction confirmations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time location tracking and service provision is implemented in crowded environments, then service efficiency and user experience are improved, but system complexity and infrastructure requirements increase
Solution Approach 1:
The system enables self-service through automated location tracking and service provisioning. Users receive push notifications with service information based on their location, can select services remotely, and complete transactions without manual intervention. The system automatically correlates location data with available services and merchants, reducing the need for complex human-operated service delivery mechanisms.
Solution Approach 2:
The patent introduces an intermediary computing device that acts as a mediator between users and service providers. This device receives location data, correlates it with merchant and service information, and presents relevant options to users. The intermediary handles the complex data processing and matching logic, simplifying the overall system architecture while maintaining high service efficiency.
2Loss of time
If remote service selection and payment is enabled, then wait times are reduced, but data processing and transaction security requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-processing location data and correlating it with available services and merchants before users need them. Push notifications are sent in advance with service information, allowing users to make selections ahead of time. Transaction data is prepared and validated in advance, reducing actual wait times while distributing data processing load over time.
3Ease of operation
If location-based service recommendations are provided, then user experience is enhanced, but data analysis and processing complexity increase
Solution Approach 1:
The system applies local quality by providing customized service recommendations based on each user's specific location and preferences. Rather than a generic approach, the system correlates individual location data with nearby merchants and services, pushing targeted notifications to each user's device. This personalized approach enhances user experience while keeping the data processing focused on relevant local information.
Data Source
AI summary
An example method includes receiving an application device identifier from an application device associated with a location tag; receiving blink data from the location tag; calculating, using a processor, location data based on the blink data; in response to an event occurrence indication, generating, using the processor, a camera data request based on the location data and the event occurrence indication; transmitting the camera data request; and receiving camera data from the application device in response to the camera data request.