Semantic Sensing for Adaptive Crowd Control Reconfiguration
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Solution Overview
Problem
Existing systems for managing and configuring crowd control areas and conveying information in dynamic environments require significant manpower and are not efficiently adaptable to changing circumstances.
Innovation Solution
A semantic sensing system comprising a processor, memory, and wireless communication-enabled devices that use semantic analysis to detect objects, infer semantics, and apply semantic augmentation based on inputs from sensors, allowing for autonomous reconfiguration and information conveyance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual manpower is used to reconfigure crowd control areas and convey information, then the system can be简单地 implemented, but the productivity is low and adaptability to changing conditions is poor
Solution Approach 1:
The system enables autonomous reconfiguration of crowd control areas by using sensors to detect objects and infer semantics, with the processor automatically determining affirmative and non-affirmative circumstances and directing semantic augmentation to supervisors, eliminating the need for continuous manual intervention
Solution Approach 2:
The patent replaces manual mechanical reconfiguration with an automated sensing and processing system that uses wireless communication enabled devices, sensors, and semantic analysis algorithms to dynamically adjust crowd control areas based on detected conditions
2Adaptability or versatility
If manual intervention is used to manage dynamic environments, then the system is easy to operate, but the adaptability to changing circumstances is insufficient
Solution Approach 1:
The system continuously monitors the environment using sensors, processes the detected data through semantic analysis, and automatically adjusts crowd control area configurations based on the inferred semantics and determined circumstances, creating a closed-loop adaptive system
Solution Approach 2:
The patent implements dynamic reconfiguration of crowd control areas by enabling the system to respond in real-time to changing conditions through sensor detection and semantic processing, allowing the configuration to adapt automatically rather than remaining static
3Extent of automation
If semantic analysis with entropy determination is implemented, then the system can autonomously determine circumstances, but the device complexity increases
Solution Approach 1:
The processor acts as an intermediary that receives sensor inputs, applies semantic drift or entropy to determine circumstances, and directs semantic augmentation to supervisors, simplifying the overall system architecture by centralizing the complex semantic processing function
Data Source
AI summary
A semantic sensing system includes a processor, a memory, a plurality of wireless communication enabled devices and at least one sensing element, the memory storing a plurality of mapped endpoints wherein the processor is configured to apply semantic drift or entropy to determine affirmative and non-affirmative circumstances based on inputs from the at least one sensing element to cause the system to perform semantic augmentation towards a first endpoint supervisor in relation with the affirmative and non-affirmative determinations.