





PREVAX is a Full-Stack
Agentic AI Platform for urban operations.
Connecting the entire process of urban operations from perception to execution with PINTEL technology.
We have completed an End-to-End architecture that enables high-performance stable operation and proactive response.
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1.0
Standalone SystemInitial video analysis
based on background modelingSupported resolution: UHD
- Average analysis speed: 6.1
- Simultaneous analysis channels: 4ch
- Event processing: Single
- Supported systems: 1
C++ based Standalone structure
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2.0
Client-Server SystemHigh-resolution analysis and transition to separated architecture
Supported resolution: FHD
- Average analysis speed: 17.1
- Simultaneous analysis channels: 10ch
- Event processing: Single
- Supported systems: 1
Third-party system custom integration (Custom Link)
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3.0
Web-Based MiddlewareWeb transition and
flexible integration architectureSupported resolution: FHD
- Average analysis speed: 17.9fps
- Simultaneous analysis channels: 30ch
- Event processing: Composite
- Supported systems: N
Web-based control transition and middleware introduction
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4.0
Full-Stack Agentic AI PlatformBeyond control, proactive AI leading urban operations
Supported resolution: FHD or higher
- Speed: Real-time (Zero Latency)
- Channels: 300ch (Single Server)
- Processing: Context-based situation understanding
- Systems: Unlimited expansion based on ONVIF standard
- System stability: Failover (Zero-Downtime)
Event-Driven architecture with LLM/VLM
Beyond simple analysis, AI that judges and acts. End-to-End architecture from perception to execution sets new standards for urban operations.
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Full-Stack AIEnd-to-End architecture optimized for agentic AI real-time operation
From data collection to analysis, prediction, decision, and execution, agentic AI operating processes are designed in a single technology stack. Based on high-performance architecture with flexible scalability, precise situation prediction and context-based decision-making are supported through intuitive integrated operation services. -
Agentic AIProactive AI that understands situational context and proposes optimal actions
Beyond simple recognition, based on LLM/VLM technology, video situational context is understood like a human. Predicts risks ahead and proactively proposes optimal response scenarios to fully support operator decision-making. -
Unified PlatformUnified platform that completes decision with execution
Complex urban data can be grasped at a glance on a GIS-based single screen. Optimal scenarios proposed by AI can be executed with one click to secure the golden time.

User Experience
Beyond simply showing situations, AI designs optimal responses first.
PREVAX is an Agentic AI platform that understands context and proposes executable response strategies.
- Switching between distributed screens across systems
- Operators directly interpreting video information
- After accidents, manual response relying on manuals
- When adding equipment, operation downtime and system reconfiguration
- Integrated control of all situations on GIS-based single screen
- AI understands and summarizes situational context like a human
- Predict risks and propose optimal response scenarios
- Standard-based flexible scalability, zero-downtime stable operation
Scattered data is intuitively grasped
on one GIS-based screen
No need to switch between security, traffic, and safety systems. PREVAX integrates all events on a GIS-based single screen for rapid situation assessment.

- A Solution

- B Solution

- C Solution

- D Solution

- E Solution

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Intelligent Selective Control

Control method focused on critical events
Events are selected based on risk and situation priority to improve operator focus. -
GIS-based Integrated Control

Understanding situations in spatial context
Incident and event locations are displayed intuitively on the map so operators can grasp both the problem location and surrounding environment. -
Intelligent Data Management

Grasp and utilize operational data at a glance
Analysis results and operational data are provided in dashboard form for at-a-glance status by region, period, and type.
AI understands situational context like a human and summarizes key points
Beyond simple object detection, analyzes the interaction of time, space, and behavior. AI grasps situational context on behalf of operators and explains it clearly in natural language.
AI organizes ongoing situations in real time.
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Context-based situation understanding
VLM technology interprets cause-effect in video like a human -
AI Situation Summary
Complex video information is automatically summarized to minimize operator cognitive load -
Same-object continuous tracking
Moving objects across camera boundaries are tracked continuously (Re-ID) for route visualization
Predict risk signs and prepare optimal response scenarios in advance
It is too late after an accident. By analyzing data flow to proactively capture risk signs, AI first proposes situation-appropriate SOPs.

Proactive response is possible by identifying escalating risk trends in advance.
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Proactive risk prediction
Crowd density, flow changes, etc. pre-accident signs are detected in advance -
Response scenario proposal
Simulates optimal response per situation and presents decision options to operators -
Proactive decision support
Operator reviews and approves AI-proposed scenarios for immediate field deployment
The system does not stop when features or channels increase. Standard interface-based architecture connects flexibly in any environment.
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Point 01
Architecture without environmental constraintsOptimized for diverse environments with Windows/Linux multi-OS and Client-Server separation
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Point 02
Standard-based flexible expansionSupport for ONVIF and other standards enables free integration with heterogeneous equipment and external systems
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Point 03
Perfect continuity (Failover)System stability ensured by built-in Failover for immediate switchover on failure
PREVAX-based solutions can be customized per environment with AI operation scenarios.
PREVAX changes how cities make decisions
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