IoT Risk Region Early Warning Using Suspicious Group Indexing
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Solution Overview
Problem
Existing public security management in cities faces inefficiencies due to insufficient distribution of police resources when dealing with suspicious behaviors, as current monitoring systems often require manual patrols after initial detection, leading to delays and resource misallocation.
Innovation Solution
An IoT system is employed to generate early warning information in risk regions by processing monitoring images to identify suspicious individuals and groups, determining risk indices, and triggering automated responses such as deploying unmanned aerial vehicles (UAVs) when thresholds are exceeded.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual patrols are arranged to check suspicious behaviors detected by monitoring systems, then public security management can be performed, but police resource distribution becomes insufficient and efficiency decreases
Solution Approach 1:
The patent replaces manual mechanical patrol verification with an automated image processing system. The management sub-platform automatically processes monitoring images to determine suspicious indexes of persons, identify suspicious individuals, and calculate risk indexes of regions, substituting the mechanical manual verification process with automated computational analysis.
Solution Approach 2:
The system enables self-service by allowing the monitoring system to automatically verify suspicious behaviors without requiring manual patrol intervention. The public security management platform autonomously processes images, identifies suspicious persons, determines their trajectories, and generates early warnings, making the system self-sufficient in verifying suspicious activities.
2Productivity
If automated image processing is implemented to identify suspicious persons and generate early warnings, then public security management efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the complex public security management system into distinct functional modules: user platform for receiving requests, service platform for coordinating operations, public security management platform for image processing and analysis, sensing network platform for data transmission, and object platform for monitoring device management. This segmentation manages complexity by distributing functions across independent modules.
Solution Approach 2:
The patent introduces a sensing network platform as an intermediary layer between the monitoring devices (object platform) and the public security management platform. This intermediary handles data transmission and coordination, simplifying the interface between diverse monitoring devices and the complex analysis system while managing overall system complexity.
Data Source
AI summary
Methods and Internet of things systems for generating early warning information in a risk region in a smart city are provided. The method includes: obtaining, from at least one monitoring device of at least one target region based on a sensing network sub-platform of a sensing network platform, a monitoring image of the at least one target region by a public security management platform; sending the monitoring image of the corresponding target region to a management sub-platform of the public security management platform; and based on the management sub-platform, processing the monitoring image to determine a suspicious index of at least one person in the monitoring image; determining, based on a sum of suspicious group indexes of suspicious groups in the target region, a risk index of the target region; generating early warning information in response to the risk index of the target region greater than a first threshold.