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CENTERPRISE EVENT DATA INTELLIGENCE CORE

DBS Event Data Management System

Processing complex multi-source data through an enterprise-grade event hub

In AIoT and smart city environments, the true value of data is not simply in “collection,” but in identifying events in real time, understanding anomalies, and supporting decision-making.
DBS is the core event data management system under the VIDAware architecture, purpose-built for highly complex, multi-source data environments.

Multi-Source Data Ingestion

CCTV, IoT, and log streams are ingested into a unified event bus

SYSTEM POSITIONING

Enterprise Event Data Management & Analytics Platform

With events as the data core, signals from multiple systems and sites are transformed into traceable and verifiable decision evidence.

Not every data point is critical, but every event deserves to be seen.

Event-Driven Architecture

With “events” as the data core, DBS redefines data value density and priority to ensure critical information is never buried.

Mixed noise responses are integrated into clear operational pulses.

Multi-Source Data Integration

DBS integrates multi-source data from AI, IoT, existing systems, and third-party APIs, resolving inconsistencies in format, semantics, and timelines.

From visibility to foresight, enabling automated data-driven decisions.

Decision-Oriented Intelligence

From data reception and evaluation to alert output, DBS creates a traceable decision loop that supports long-term operational analysis and automated decision-making.

DBS CORE MODULES

DBS Core Module Architecture

The modular design allows the system to scale with enterprise growth, fully supporting the event lifecycle from data ingestion and cleansing to evaluation and alerts.

Module 01

Multi-Source Heterogeneous

Data Management Engine

APPLICATION DATA TYPES

DBS supports unified ingestion and management of multiple data types, building a consistent Event Schema. It eliminates data silos so subsequent queries, alerts, and reports are all built on the same semantic foundation.

Example Data Sources

  • Structured data: traffic data, device status, environmental indicators, and system performance
  • Unstructured data: AI inference events, video analytics results, behavior tags, and logs
  • Cross-system events: AI cameras, IoT devices, and third-party platform APIs
Module 02

Dashboard

Data Middleware Layer

Unified Dashboard Data Layer

As the core data source layer for dashboards, DBS aggregates, structures, and outputs real-time and historical events. It provides a consistent cross-system data view, allowing operational monitoring and decision analysis to be built on a single version of truth.

Key Capabilities

Single Data Source Data Consistency Event Timeline

Real-Time Operations Monitoring

Centralized visibility into multi-system health and event metrics.

Event Retrospective Analysis

Quickly locate key events and their before-and-after context along the timeline.

Trend Statistics Comparison

Compare long-term trends and indicators across regions and systems.

Management Decision Visualization

Transform complex events into readable dashboards and decision views.

Module 03

Data Threshold &

Alert Rule Engine

Adaptive Threshold & Alert Engine

Provides a highly flexible mechanism for event evaluation and alert rule configuration. Alerts are not merely threshold-exceeded notifications, but intelligent event judgments reflecting site behavior, operational risk, and system anomalies.

Core Features

  • Supports flexible alert threshold configuration via API
  • Can be independently configured by site, data source, and time condition
  • Supports multi-layer condition chaining and event correlation logic

Value Description

Transforms raw data into events with concrete business meaning, reducing invalid alerts and improving the operations team’s risk awareness and response efficiency.

Command center with multi-screen monitoring view
Mobile dashboard and decision analysis

DBS Actionable Insights

Turning data into
actionable decision evidence

Beyond collection and visualization, DBS turns noisy data into next-step actions that drive field dispatch, operational optimization, and risk control.

  • Rapidly Identify Critical Events

    Precisely identify anomaly patterns from massive abnormal signals, reducing information anxiety.

  • Reduce Monitoring and Misjudgment Costs

    Replace 24/7 manual monitoring with automated rules to significantly improve operational efficiency.

  • Data-Driven Decision-Making

    Decisions are no longer based on intuition, but on traceable and verifiable event trails.

DBS REAL-TIME EVENT TRANSFORMER

Real-Time Event Transformation Simulation

Simulates how DBS filters, parses, and transforms messy heterogeneous data into intelligent events.

Source Data

Select a source type on the left to switch the corresponding event simulation on the right.

DBS CORE ENGINE

Transformed into High-Value Events

Source colors: Traffic AI Video IoT Sensing

    AI Case Videos

    AI Deployment Field-Proven Results

    Focused on ITS traffic data collection, TVE technology-based enforcement, and IIDS tunnel traffic incidents. Built around industrial-grade AI video recognition hosts and integrated with the Edge × CMS × DFS architecture, the solution helps traffic management units monitor road conditions in real time, enforce accurately, and comprehensively enhance road and tunnel safety.

    00:11

    Intersection Traffic Flow Data Display

    • Through advanced technologies and deep learning algorithms, traffic data collection can provide highly accurate data and information.
    00:15

    Data Collection Monitoring Center

    • By analyzing traffic volume and vehicle trajectories in traffic videos, valuable information can be provided for urban road network planning and traffic design, including road capacity evaluation, signal timing, and traffic simulation.
    01:11

    Thermal Imaging - Lane (Noon)

    • Thermal imaging cameras are used to detect vehicle or pedestrian intrusion and lingering in lanes. Through thermal image analysis, the system can detect vehicle and pedestrian positions, movement direction, and activity, supporting traffic data collection, vehicle counting, speed measurement, pedestrian analysis, and alert system deployment.
    00:38

    Thermal Imaging - Lane (Night)

    • Thermal imaging cameras are used to detect vehicle or pedestrian intrusion and lingering in lanes. Through thermal image analysis, the system can detect vehicle and pedestrian positions, movement direction, and activity, supporting traffic data collection, vehicle counting, speed measurement, pedestrian analysis, and alert system deployment.
    Intersection Data Collection

    Intersection Data Collection

    • Dashcams or network cameras transmit data through 4G networks and GPS positioning, integrating data with map platforms for real-time recognition and positioning.
    ITS Traffic Data Collection

    ITS Traffic Data Collection System Deployment

    • Traffic data collection can provide real-time monitoring and feedback on LED display boards, offering live traffic information to road users and helping them make adaptive route and driving decisions.
    IoT Smart Pole Integration - Solving Urban Issues

    IoT Smart Pole Integration - Solving Urban Issues

    • Based on location requirements, appropriate IoT devices, IP cameras, digital signage, or small cell base stations can be deployed as smart applications. Sensors help improve road-use issues such as traffic flow monitoring, technology-based enforcement, parking detection, and autonomous vehicle infrastructure.
    ITS Traffic Data Collection System Deployment

    ITS Traffic Data Collection System Deployment

    • By analyzing traffic volume, speed, and vehicle trajectory information in traffic videos, traffic management agencies can optimize signal timing, improve road design and network planning, enhance traffic efficiency, reduce congestion, and save travel time.
    00:19

    Highway Vehicle Channelizing-Line Crossing Detection

    • High-resolution cameras can be used for vehicle detection and license plate recognition across wide-lane areas, enabling technology-based enforcement applications.
    00:24

    Channelizing-Line Vehicle Crossing Detection and Recognition

    • The TVE system can detect whether vehicles are driving according to intersection lane channelizing lines or markings. It also detects illegal lane-crossing behavior and recognizes license plates, supporting intersection incident investigation, monitoring, traffic safety, and enforcement.
    TVE_vehicle wrong-way driving

    Interchange Violation Detection - Wrong-Way Driving, Pedestrians, and Motorcycles

    • The TVE system is applied at highway interchanges to detect wrong-way vehicle intrusion and recognize license plates for enforcement. It can also detect pedestrian, motorcycle, or bicycle intrusion into interchanges for incident reporting and enforcement.
    Violation Crossing - Channelizing Line Crossing

    Violation Crossing - Channelizing Line Crossing

    • Through the TVE system, vehicles can be detected for compliance with driving rules while identifying illegal line-crossing behavior and license plates, supporting intersection incident investigation, monitoring, traffic safety, and enforcement.
    00:17

    Tunnel Incident - Fallen Object

    00:19

    Tunnel Incident - Accident / Pedestrian

    01:11

    Tunnel Incident - Wrong-Way Vehicle

    00:06

    Tunnel Incident - Smoke Detection

    00:14

    Tunnel Incident - Vehicle Lane Crossing

    00:09

    Tunnel Incident - Motorcycle Intrusion

    02:49

    Tunnel Incident - QLD Congestion Detection

    00:07

    Tunnel Incident - Personnel Intrusion

    00:39

    Tunnel Incident - Stopped Vehicle

    00:35

    Tunnel Incident - Fallen Object

    00:25

    Tunnel Incident - Motorcycle Intrusion

    00:77

    Tunnel Incident - Outer-Lane Pedestrian / Smoke Detection

    00:32

    Tunnel Incident - Smoke Detection

    00:26

    Tunnel Incident - Smoke Detection

    00:26

    Tunnel Incident - Stopped Vehicle and Smoke Detection

    00:36

    Tunnel Incident Monitoring Management Center Site

    00:22

    Tunnel Incident - Stopped Vehicle and Pedestrian Detection

    00:16

    Tunnel Incident - Smoke Detection

    Tunnel Incident

    Tunnel Incident CMS

    • Tunnel Incident Management Center CMS
    00:29

    Urban Level Crossing Traffic Detection (Daytime)

    • Urban level-crossing vehicle, pedestrian, and object detection and tracking; traffic volume statistics, pedestrian passage detection, vehicle passage record management, and vehicle-type statistics at level crossings.
    03:20

    Urban Level Crossing Traffic Detection (Nighttime)

    • Urban level-crossing vehicle, pedestrian, and object detection and tracking; traffic volume statistics, pedestrian passage detection, vehicle passage record management, and vehicle-type statistics at level crossings.
    00:23

    Line-Side Level Crossing Incident

    • Forced vehicle passage at level crossings, fallen object detection, vehicle passage record management, linked barrier operation status, abnormal passage event management, and detection and alerting for abnormal pedestrian and vehicle crossings over railway level crossings.
    00:45

    Railway Incident - Railway Area Personnel Intrusion

    • Event video retrieval can be used to determine accident causes and responsibilities, helping traffic management agencies conduct accident analysis and investigation while improving traffic facilities and safety measures.
    00:36

    Line-Side Level Crossing Incident - Vehicle Stoppage (Night)

    • Records vehicles stopped at level crossings due to incidents, vehicles waiting too long at crossings, and vehicle passage through crossings.
    00:20

    Line-Side Level Crossing Incident - Vehicle Stoppage

    • Vehicle stoppage within warning zones, excessive waiting at level crossings, vehicle passage record management, linked barrier operation status, and abnormal stoppage event management.
    00:20

    Automatic Ticket Gate - People Flow Statistics

    • By building information on traffic flow around stations, vehicle drop-off dwell-time control, and passenger flow status, station management units can optimize drop-off management, reduce congestion, improve crowd monitoring, and enhance station safety management efficiency.
    00:17

    Rail Safety Detection

    • Crowd gathering, platform-left object detection, and platform line-crossing detection.

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