Crowd-Sourced Event Detection Using Mobile Sensor Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current monitoring systems, relying on fixed cameras, face challenges in quickly and accurately detecting events that require resource allocation due to incomplete or delayed information, which can lead to inadequate response times.
Innovation Solution
An event management system utilizing mobile sensor information from human nodes' devices, such as smartphones and tablets, to determine if an event has occurred and allocate necessary resources, leveraging crowd-sourced data for real-time analysis and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If fixed cameras are used for monitoring, then the system structure is simple and stable, but the event detection speed and accuracy deteriorate due to incomplete coverage and inability to track moving events
Solution Approach 1:
The patent transforms the static monitoring system into a dynamic one by enabling cameras to move and reposition automatically based on detected events. The system transitions from fixed cameras to mobile cameras that can follow subjects and adjust their positions, thereby improving event detection speed and accuracy while managing system complexity through automated control algorithms.
Solution Approach 2:
The patent introduces temporal dimension to the monitoring system by implementing continuous tracking across multiple time points. Instead of static snapshots from fixed positions, the system captures dynamic sequences by moving cameras through space and time, allowing events to be detected and followed as they unfold, thus improving detection speed and completeness.
2Measurement precision
If more fixed cameras are deployed to improve coverage, then event detection accuracy improves, but system cost and complexity increase
Solution Approach 1:
The patent makes each camera multi-functional by enabling it to perform both stationary monitoring and mobile tracking roles. Instead of requiring separate fixed and mobile cameras, the system allows cameras to dynamically switch between functions based on operational needs, thereby improving detection accuracy without proportionally increasing the number of devices required.
Solution Approach 2:
The system implements self-service through automated event detection and camera deployment. When an event is detected, the system automatically determines which cameras should move and in what directions, eliminating the need for manual deployment decisions. This self-organizing behavior improves detection accuracy while keeping the camera network size manageable.
3Productivity
If manual event reporting is used, then system complexity is low, but event detection speed and completeness deteriorate due to reliance on individual reporting
Solution Approach 1:
The patent replaces the mechanical manual reporting system with an automated computer vision-based detection system. Instead of relying on individuals to observe and report events, the system uses algorithms to automatically detect events from camera feeds, significantly improving detection efficiency and completeness while managing complexity through software automation.
Solution Approach 2:
The system implements continuous feedback loops where camera data is constantly analyzed, events are detected and reported automatically, and this information feeds back to adjust camera positioning and monitoring priorities. This closed-loop control improves event detection efficiency by ensuring that the system actively responds to changing conditions rather than relying on passive manual reporting.
Data Source
AI summary
A method, apparatus, and system for managing events. A method receives mobile sensor information from mobile devices operated by human nodes in a location and determines whether the event has occurred at the location in which event management is needed for the event using the mobile sensor information. The method identifies resources needed for the event using the mobile sensor information in response to a determination that the event has occurred and allocates the resources identified to handle the event using the mobile sensor information.