AI‑Powered Public Safety
We deeply integrate big data, artificial intelligence, and public safety operations to build an integrated early‑warning and prevention system featuring "intelligent sensing, precise early warning, and efficient response." This drives a transformative shift in policing—from reactive response to proactive prevention.
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Solution Value
Confronting core challenges in public safety—such as massive and heterogeneous data, delayed risk awareness, and disjointed early warning and response—we introduce our AI‑Powered Public Safety Early Warning Solution. This solution is not merely an upgrade of traditional security systems; it serves as a “smart neural center” that empowers public security departments. By aggregating and fusing massive multi‑source data and applying AI models for deep mining and intelligent judgment, it enables dynamic sensing, advance warning, and scenario simulation of public safety incidents. This drives a profound transformation of police work—from passive reaction to proactive prevention, and from experience‑based to data‑driven decision‑making.
Core Modules
Multi‑Source Data Integration & Governance Platform
Breaks down data silos to intelligently ingest and govern massive heterogeneous data from video surveillance, facial recognition checkpoints, police mobile terminals, online public sentiment, and more. Through technologies such as automated metadata discovery and quality‑rule generation, it builds a standardized, consistent, and comprehensive public‑security data resource pool, providing reliable data fuel for upper‑layer applications.
Dynamic Public Security Situation Awareness System
Based on GIS mapping and visualization engines, it presents real‑time “security heat maps,” crowd monitoring in key areas, and activity trajectories of key persons. AI algorithms estimate total personnel counts in regions and intelligently flag crowd‑gathering hotspots, offering macro‑level decision support for pre‑positioning and dynamic adjustment of police resources.
Multi‑Dimensional Risk Early‑Warning Model System
Trains specialized AI early‑warning models for core scenarios such as public‑security incidents. Establishes a four‑tier “Red, Orange, Yellow, Blue” warning system that automatically correlates personnel databases, behavioral trajectories, and online sentiment, enabling intelligent identification and tiered推送 of risk leads.
Knowledge‑Graph‑Assisted Investigation & Decision System
Constructs a domain knowledge graph linking entities such as “persons, vehicles, cases, objects, addresses.” Supports one‑click relationship mining, spatiotemporal comparison, and temporal analysis to quickly outline individual relation networks and group structures, accurately tagging key persons and significantly improving case‑investigation efficiency.
Emergency Response Knowledge Hub & Simulation Platform
Integrates historical cases, laws and regulations, and response procedures to build an intelligent knowledge base. Leverages large AI models for incident‑trend prediction and response‑scenario simulation, generating optimal command plans. Through a visual command dashboard (integrating video, GIS, and UAV feeds), it enables closed‑loop, integrated situation‑command‑action operations.
Overall Architecture
The solution adopts a three‑layer technical architecture of "Data Foundation – AI Middle Platform – Scenario Applications," supported by comprehensive security, operations, and standards systems:
Data & Infrastructure Layer
Built upon existing urban policing data and GIS/video capabilities, it establishes multi‑source data ingestion channels and a unified storage‑computing platform. Integrated with an advanced attack detection and defense system, it provides end‑to‑end security protection—from host protection and vulnerability management to threat deception—ensuring data and system security.
AI & Capability Middle Platform Layer
The core consists of a Data Middle Platform and an AI Middle Platform. The Data Middle Platform handles data visualization, integration, governance, and development. The AI Middle Platform encapsulates algorithm services, model training, and general AI capabilities (e.g., face/body recognition), providing standardized, reusable intelligent components for upper‑layer applications.
Intelligent Application & Collaboration Layer
Serving various police service branches such as public order, criminal investigation, and command, it delivers platform applications including unified search, dynamic incident awareness, intelligence analysis, and model services (vehicle‑track analysis, regional collision detection). Through the knowledge hub and visual command system, it seamlessly connects AI early warning, graph‑based investigation, and operational command, enabling cross‑branch, cross‑hierarchical business collaboration.
Key Advantages
Holistic Data Fusion & Governance, Breaking Down Information Silos
Delivers end‑to‑end capabilities—from automated multi‑source data ingestion and intelligent governance to quality control—fundamentally solving the public‑security data challenges of “being unusable and underutilized,” laying a solid foundation for precise early warning.
AI‑Driven Empowerment for Precise, Proactive Warnings
Tailored early‑warning models for three types of sensitive incidents shift the focus from “post‑incident forensics” to “pre‑incident alerts.” Particularly in scenarios like large‑crowd monitoring, it enables crowd‑peak prediction and proactive risk avoidance.
In‑Depth Investigation via Knowledge Graphs to Uncover Hidden Correlated Risks
Leverages graph technology to penetrate surface data, deeply mining hidden connections among people, cases, and objects. Precisely identifies group cores and risk‑contagion pathways, aiding in combating emerging and organized crime.
Integrated Peacetime‑Emergency Closed‑Loop Design for Efficient Command & Response
The solution covers the full spectrum from routine risk monitoring and warning simulation to emergency visual command, forming a complete operational loop of “warning – investigation – command – response – feedback” to enhance overall emergency‑handling capabilities.
Continuous Iteration & Optimization for an Ever‑Smarter System
Establishes a closed‑loop feedback mechanism for warning‑model performance. Through frontline officer mobile‑app feedback (false alarms/misses), models are continuously trained and refined, ensuring that the system’s warning accuracy and operational effectiveness steadily improve over time.
Quantified Benefits
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Faster Warning Response
Compared with historical handling of similar incidents, system‑assisted emergency response efficiency improves by over 40%. -
Analytical Efficiency Leap
Knowledge‑graph tools reduce complex personnel‑network analysis from days (manual) to hours or even minutes. -
Comprehensive Risk Warning Coverage
A multi‑dimensional early‑warning model system covering public‑security incidents achieves full coverage of key risk scenarios.
Application Scenarios
- Dynamic Monitoring and Control of Key Areas and Populations
Integrates personnel databases, video/image repositories, and online sentiment data to track the real‑time movement trajectories and online behaviors of specific groups. Upon detecting anomalies, the system automatically triggers alerts and delivers them to relevant patrol officers for precise verification and intervention. - Large‑Crowd Safety Early Warning for Major Events and Public Spaces
During holidays or large‑scale events, it dynamically monitors crowd density in key areas by ingesting real‑time passenger‑flow data. Based on historical data models, the system predicts peak flow and automatically issues orange/yellow alerts when occupancy approaches capacity thresholds, guiding management departments to activate tiered crowd‑management plans to effectively prevent public‑safety incidents such as stampedes. - Major‑Case Correlation Investigation and Gang‑Network Detection
When handling complex cases, the dynamic‑ontology platform enables one‑click import of fragmented information—involved persons, vehicles, communications, funds, etc. The system automatically constructs relationship networks and, through analyses such as “spatiotemporal correlation” and “relationship expansion,” quickly outlines the organizational structure of criminal groups and identifies key individuals, providing precise intelligence support for takedown operations. - Tiered Warning and Coordinated Response for Sensitive Incidents
The system automatically identifies and classifies Type‑I, II, and III sensitive events based on preset rules. Alerts are automatically distributed via the platform to commanders at different levels and frontline officers, while simultaneously pushing auxiliary information—such as surrounding police resources, video feeds, and emergency plans—enabling flat, intelligent, and coordinated command.
