Crowd Control Maps Using Cornering Spot Detection
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Solution Overview
Problem
Location-based service providers face challenges in providing proactive crowd management tools to mitigate injuries and property damage, as existing technologies lack effective methods to identify and utilize geographic features for crowd control.
Innovation Solution
A system that processes imagery data to detect cornering spots – open geographic areas enclosed by features that limit crowd mobility, allowing for efficient crowd control by identifying attributes such as cornering confidence percentage, capacity, and resource requirements, and providing these as outputs for strategic crowd management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If imagery data is processed to detect and store cornering spots in a geographic database, then crowd control capability is improved by identifying areas that limit crowd mobility, but system complexity increases due to data processing and database management requirements
Solution Approach 1:
The system performs preliminary processing of imagery data to pre-identify and store cornering spots in a geographic database before crowd control operations are needed. This advance preparation creates a ready-to-use repository of effective crowd control locations, eliminating the need for real-time analysis during critical moments and improving reliability while managing complexity through upfront automation
2Loss of information
If cornering spots are identified and stored as data records, then information availability for crowd management is improved, but data processing time and computational resources increase
Solution Approach 1:
The system pre-processes imagery data to identify cornering spots and stores them as structured data records in a geographic database before they are needed for crowd management decisions. This preliminary action ensures that when crowd control is required, pre-validated information is immediately available without requiring time-consuming real-time analysis
Solution Approach 2:
The system creates simplified data representations (copies) of cornering spots extracted from complex imagery data. These data records contain essential geometric and location information in a condensed format that is easy to store, retrieve, and use for decision-making, reducing both storage requirements and processing time while maintaining information availability
Data Source
AI summary
An approach is disclosed for detecting cornering spots capable of facilitating crowd control by limiting a mobility of a crowd. The approach involves, for example, collecting satellite, aerial, and/or street-level imagery associated with one or more geographic features of a geographic area. The approach also involves determining at least one cornering spot along with one or more attributes of the cornering spot characterizing the effectiveness of the cornering spot to assist in crowd control. Cornering spot data can be stored in a geographic database and/or displayed in an application on user equipment.