Intelligent middle platform

Building an AI Hub for Global Perception and Collaborative Response

 

The Vietadata Intelligent Center is the core hub for unified management of multi-source alarm information, integration of heterogeneous systems, and implementation of intelligent decision-making and automated response. It integrates discrete security subsystems (such as AI monitoring, access control, infrared alarm, fire protection systems, etc.) into organic linkage intelligent agents through standardized interfaces, multimodal data fusion, rule engines, and workflow orchestration, significantly improving event response speed and operational management efficiency.

Core Technical Competencies
01 Intelligent Alert Aggregation & Deduplication
Heterogeneous Protocol Compatibility:
Support mainstream protocols such as ONVIF, GB/T 28181, Modbus, HTTP API, seamlessly integrate with traditional cameras, access controllers, infrared sensors, fire alarms, and other devices to achieve unified standardization of alarm signaling.
Multi Modal Alarm Fusion:
Based on multidimensional correlation analysis such as time, space, and event types, intelligent aggregation is performed on video alarms (such as intrusion), access control anomalies (such as forced door opening), and infrared triggers (such as perimeter intrusion) to eliminate false alarms and duplicate alarms (such as "multiple camera alarms triggered by the same target" being reported only once).
Dynamic Priority Calculation:
By using a rule engine and machine learning, the alarm level can be dynamically adjusted based on alarm types, area importance, historical data, etc. (for example, the priority of "infrared triggering in the warehouse at night" is higher than "accidental triggering in the office area during the day").
02 Rule Engine & Auto-Action
Visual Strategy Orchestration:
Provide a low code/no code workflow configuration interface, supporting "IF-THEN-ELSE" logic chain customization (such as "IF facial recognition failure+continuous access control>30 seconds → THEN linkage sound and light alarm+push work order to security APP").
Cross System Linkage Control:
Integration with AI monitoring: Automatically retrieve the video stream of alarm points, analyze target behavior in real time (such as wandering, remnants), and enhance the effectiveness of alarms.
Integration with access control system: triggering physical interception such as door lock freezing, elevator stopping, and barrier gate closing.
Integration with management system: Push alarm work orders to the operation and maintenance platform (such as CMDB), notify duty personnel (such as enterprise WeChat/DingTalk), and form a closed-loop disposal.
Adaptive Learning Optimization:
Train the model with historical alarm data to automatically optimize the rule threshold (such as dynamically adjusting the threshold for triggering "personnel gathering alarms").
03 End-to-End Observability
Alarm Full Lifecycle Tracking:
Record the entire process from triggering, aggregation, distribution, disposal, and feedback, supporting timeline backtracking and root cause analysis (such as "false positive source is camera reflection").
Multidimensional Data Dashboard:
Real time display of alarm heat maps, response time statistics, equipment health status, and assistance in operation and maintenance decision-making.
Digital Twin Mapping:
Integrate with the optional 3D map engine to visualize alarm points, equipment status, and personnel movements. → Aggregation → Distribution → Disposal → Feedback full process recording, supporting timeline backtracking and root cause analysis (such as "false positive source is camera reflection").
04 Open Architecture & Ecosystem
Standardized API Gateway:
Provide RESTful API/SDK that supports quick integration with third-party systems such as ERP, work order systems, and smart city platforms.
Microservice Design:
Modular splitting of alarm aggregation, rule engine, log service and other components, supporting high concurrency and elastic scalability.
Edge Cloud Collaboration:
Support hierarchical processing of alarm information (real-time filtering at the edge, deep analysis in the cloud) to reduce bandwidth pressure.
Technological Differentiation and Value Proposition
Compared to Traditional Alarm Platforms
Traditional Solution Vietadata Intelligent Center
Isolation system, scattered alarm information Unified access and intelligent association of multiple systems
Relying on manual judgment and response Automated rule engine+AI assisted decision-making
Passive processing afterwards Pre warning+in-process interception+post traceability
Customer Value
Efficiency Improvement
Reduce alarm processing time by 80% (from minutes to seconds)
Cost Optimization
Reduce ineffective manpower investment by 30% through false positive filtering
Risk Management
Cross system linkage to achieve "second level physical interception" and reduce the probability of loss
Typical Application Scenarios
Efficiency Improvement
Reduce alarm processing time by 80% (from minutes to seconds)
Cost Optimization
Reduce ineffective manpower investment by 30% through false positive filtering
Risk Management
Cross system linkage to achieve "second level physical interception" and reduce the probability of loss

For various application cases, please refer to the Product Center>Industry Solutions

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