Adaptive Crowd Control System Using Video Feedback
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Solution Overview
Problem
In crisis situations, first responders face challenges in effectively communicating crowd control commands due to confusion among individuals, leading to potential safety incidents and inefficient use of resources when commands are not followed.
Innovation Solution
A system comprising computing devices with microphones, cameras, and notification devices that detect aural commands and modify them based on video data to generate a second version of the command, which is then provided to individuals not following the original command using notification devices like speakers or displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If police officers use megaphones to increase the loudness of commands, then the commands become more audible, but electrical and processing resources are wasted when people still fail to follow the commands due to confusion
Solution Approach 1:
The system continuously monitors crowd behavior through video analysis and uses this feedback to determine whether commands are being followed. When non-compliance is detected, the system automatically adjusts and reissues commands, creating a closed-loop control system that adapts to crowd responses rather than wasting resources on ineffective repeated broadcasts
Solution Approach 2:
The system changes the parameters of command delivery by analyzing video data to understand crowd confusion and modifying command characteristics accordingly. This includes adjusting command frequency, timing, and content based on real-time crowd behavior analysis, making commands more effective without simply increasing volume
2Reliability
If police officers repeatedly issue commands using megaphones, then more people may hear the commands, but resources are wasted when people continue to fail to follow due to confusion
Solution Approach 1:
The system uses video analysis to provide real-time feedback on crowd compliance with commands. This feedback mechanism allows the system to distinguish between situations where increased command repetition is necessary versus situations where the commands themselves need to be modified, thereby improving compliance while maintaining resource efficiency
Solution Approach 2:
The system automatically detects non-compliance and generates appropriate follow-up commands without requiring continuous human intervention. This self-service capability improves command compliance through consistent monitoring and adjustment while reducing the productivity cost of manual resource management
Data Source
AI summary
A device, system and method for crowd control is provided. An aural command is detected at a location using a microphone at the location. A computing device determines, based on video data received from one or more multimedia devices, whether one or more persons at the location are not following the aural command. The computing device modifies the aural command to generate a second version of the aural command based on one or more of the video data and multimedia data associated with the location. The computing device causes the second version of the aural command to be provided, to the one or more persons who are not following the aural command at the location, using one or more notification devices.