Semantic Sensing 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 systems for gathering, inferring, and conveying information.
Innovation Solution
A robotic semantic system comprising smart posts with integrated modules, including wheels, power, trunk, control, and optical sensors, that perform semantic augmentation and routing based on semantic drift inferences, allowing autonomous reconfiguration and information conveyance.
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 provided, but continuous manpower is required for reconfiguration
Solution Approach 1:
The smart post system performs autonomous reconfiguration through self-contained sensing, processing, and actuation capabilities. Optical sensors detect environmental conditions and crowd patterns, the control section processes this data to determine reconfiguration needs, and motors automatically adjust the post positions and orientations without human intervention, enabling the system to serve itself
Solution Approach 2:
The patent replaces manual mechanical reconfiguration with an automated electromechanical system. Motors and actuators substitute for human physical manipulation, while optical sensors and control algorithms replace human visual assessment and decision-making, transforming a manually-operated mechanical system into an autonomous electromechanical system
2Productivity
If smart posts with integrated modules are deployed, then autonomous reconfiguration and information conveyance are achieved, but device complexity increases
Solution Approach 1:
The patent combines multiple functional modules into integrated smart posts: optical sensors for environmental sensing, motors for actuation, control sections for processing, and communication modules for data exchange. These merged modules work together within each post to achieve autonomous reconfiguration and information conveyance, improving productivity despite the inherent complexity through functional integration
Solution Approach 2:
Each smart post is designed as a multi-functional unit that can sense environmental conditions, process information, communicate with other posts, physically reconfigure itself, and convey information through displays or other output mechanisms. This universal design allows a single device type to perform multiple functions, reducing the need for specialized components and simplifying system management
Data Source
AI summary
A semantic sensing system includes a memory and a processor in communication with the memory and a sensing device, the memory storing a plurality of capabilities and a plurality of semantic fluxes associated with the plurality of capabilities. The computing system is configured to infer a semantic based on received inputs and route the inputs to the semantic fluxes based on semantic drift inference between their associated capabilities and inferred semantic.