Guidance Processing for Spatial and Time-Divided Crowd Distribution
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Solution Overview
Problem
Existing crowd guidance methods often lead to the immediate crowding of the intended destination, failing to appropriately distribute people across different spaces.
Innovation Solution
A guidance processing apparatus that acquires and analyzes crowd states from multiple images to generate and control guidance information for display devices in different spaces, allowing for time division and spatial distribution of crowd guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If guidance information directs crowds to a specific destination, then the guidance effectiveness is improved, but the destination becomes immediately crowded, worsening the crowd distribution problem
Solution Approach 1:
The system performs preliminary analysis of crowd states in different spaces before issuing guidance information. By acquiring images and analyzing crowd density, movement trends, and spatial distribution in advance, the system predicts future crowd states and issues guidance information that prevents destinations from becoming overcrowded, rather than reacting after crowding occurs
Solution Approach 2:
The system dynamically adjusts guidance information based on real-time crowd state changes. By continuously monitoring crowd density and movement patterns, and updating guidance information accordingly, the system adapts to changing conditions to maintain effective crowd distribution without creating new congestion points
Solution Approach 3:
The system establishes a feedback loop where guidance information is issued based on current crowd states, then the resulting crowd movements are monitored through continued image acquisition and analysis. This feedback mechanism allows the system to evaluate the effectiveness of guidance information and adjust subsequent guidance to optimize crowd distribution
2Adaptability or versatility
If multiple target devices are controlled in different spaces, then the crowd distribution across spaces is improved, but the system complexity increases
Solution Approach 1:
The system employs a unified guidance processing apparatus that performs multiple functions: acquiring images from multiple spaces, analyzing crowd states, predicting future states, and controlling multiple target devices. This multi-functional approach achieves versatile crowd distribution across different spaces while avoiding the complexity of multiple separate systems through centralized processing
Solution Approach 2:
The system divides the monitored area into multiple spaces and assigns different target devices to different spaces, allowing independent control and optimization for each space while maintaining overall system coordination through the central guidance processing apparatus
Data Source
AI summary
A guidance processing apparatus (100) includes an information acquisition unit (101) that acquires a plurality of different pieces of guidance information on the basis of states of a plurality of people within one or more images, and a control unit (102) that performs control of a plurality of target devices present in different spaces or time division control of a target device so as to set a plurality of different states corresponding to the plurality of pieces of guidance information.