Venue Amenity Crowdedness Detection via Mobile Device Location
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Solution Overview
Problem
Large venues face challenges in efficiently managing and informing visitors about the crowdedness of amenities, such as food vendors and restrooms, which can distract from the primary event or task, as existing techniques lack effective methods for providing real-time, venue-wide information on amenity usage.
Innovation Solution
A networked computer system that collects location data from mobile devices to determine crowdedness levels of amenities within a venue, allowing users to view and select less crowded options, thereby optimizing their visit by minimizing wait times and enhancing the overall experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time monitoring of amenity crowdedness is implemented, then visitor efficiency is improved, but system complexity increases
Solution Approach 1:
The system uses mobile devices that visitors already have to collect location data, eliminating the need for dedicated tracking hardware. The amenities themselves are passively monitored through their geographic coordinates, and the system automatically processes data from multiple sources without requiring active participation from visitors or manual input from venue staff.
Solution Approach 2:
The mobile devices serve multiple functions: they are not only used for the primary event but also for collecting location data, receiving notifications, and displaying amenity information. The networked computer system handles multiple tasks including data collection, processing, visualization, and communication, consolidating what would otherwise require separate systems into a single multi-functional platform.
2Loss of time
If real-time information display is provided, then wait time is reduced, but information processing complexity increases
Solution Approach 1:
The system pre-calculates and displays estimated wait times for amenities based on historical data and current conditions before visitors arrive. Location data is continuously collected and processed in advance, and the interface is pre-configured to display relevant information, so that when visitors need the information, it is already ready and requires minimal additional processing.
Solution Approach 2:
The system continuously monitors actual amenity usage and compares it with predicted patterns, adjusting wait time estimates in real-time. Visitor behavior feedback is incorporated to refine future predictions, creating a dynamic system that learns from actual usage patterns and improves its accuracy over time without requiring complex manual intervention.
3Loss of information
If multiple amenities are monitored simultaneously, then information completeness is improved, but data processing load increases
Solution Approach 1:
The monitoring system is divided into independent modules, with each mobile device acting as an independent data collection unit. The networked computer system processes data from multiple sources simultaneously using parallel processing capabilities. The interface displays information for multiple amenities in an organized manner, allowing the system to handle numerous amenities without overwhelming processing requirements.
Data Source
AI summary
Amenity service point data is stored, where the amenity service point data specifies, for a plurality of amenities in a venue, a respective plurality of different geographic points at which the amenities are located within the venue. Locations of a plurality of mobile computing devices that are within the venue are determined. For each particular amenity among the plurality of amenities, a crowdedness level of the particular amenity is determined based in part on the locations of the plurality of mobile computing devices relative to the geographic point corresponding to the particular amenity. A request to view information relating to a certain amenity is received. Particular information relating to the certain amenity, where the information includes an indication of the crowdedness level of the certain amenity is caused to display. The crowdedness level of the certain amenity is periodically re-determined during duration of an event at the venue.