Semantic Smart Posts for Autonomous Crowd Reconfiguration
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Solution Overview
Problem
Existing physical devices used for crowd control and area demarcation require continuous manpower for reconfiguration and lack efficient means for semantic information gathering, presentation, and rendering.
Innovation Solution
A semantic robotic system comprising smart posts with integrated modules, including wheels, power sections, antennas, and optical sensors, that perform semantic augmentation through semantic inference and analysis, allowing autonomous reconfiguration and semantic augmentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If physical devices are used for crowd control and area demarcation, then area demarcation and crowd control functions are achieved, but continuous manpower is required for reconfiguration
Solution Approach 1:
The smart post system performs autonomous reconfiguration through self-service mechanisms. The posts automatically navigate to designated positions, form geometric patterns, and adjust their configurations without human intervention. The system uses onboard sensors, processors, and actuators to independently complete deployment, reconfiguration, and positioning tasks that previously required continuous manual operation
Solution Approach 2:
The patent replaces manual mechanical reconfiguration with automated robotic systems. Smart posts equipped with wheels, motors, and control systems substitute for human operators who physically moved and repositioned traditional posts. The mechanical system now operates autonomously through integrated power sections, control sections, and actuation mechanisms
2Loss of information
If traditional physical devices are used, then basic area demarcation is achieved, but efficient semantic information gathering and presentation capabilities are lacking
Solution Approach 1:
The patent merges multiple functional modules into integrated smart post units. Each post combines sensing elements (optical sensors, antennas), processing capabilities (processors with semantic analysis software), communication modules, and actuation systems into a single unified device. This integration enables simultaneous information gathering, processing, and presentation without requiring separate systems
Solution Approach 2:
The smart posts are designed as multi-functional universal devices that perform area demarcation, crowd control, semantic information gathering through various sensors, data processing, and information presentation through displays and communication modules. A single device type can adapt to multiple functions depending on configuration and software settings
3Productivity
If manual reconfiguration is used, then flexibility in forming fluid regions is achieved, but time consumption and productivity are reduced
Solution Approach 1:
The smart post system implements dynamic reconfiguration capabilities where posts can automatically adjust their positions, orientations, and formations in real-time. The system responds to changing conditions by autonomously reconfiguring the spatial arrangement of posts, enabling rapid adaptation to new crowd control scenarios or area demarcation requirements without manual intervention
Solution Approach 2:
The system performs preliminary actions by pre-programming reconfiguration sequences and storing multiple formation patterns. When reconfiguration is needed, the posts execute pre-planned movement sequences and automatically form predetermined geometric patterns, significantly reducing the time required compared to manual planning and execution of each reconfiguration step
Data Source
AI summary
A semantic sensing analysis system comprising a processor, a memory and at least one sensing element having a plurality of stored semantic routes and/or semantic rules wherein the processor is configured to use semantic factorization to apply a quantifiable factor or indicator based on semantic inference or analysis which is inferred based on at least one of the stored semantic routes and/or semantic rules to cause the system to perform semantic augmentation towards a user in relation with an inferred semantic identity.