Vida.ai Big Data Services
VIDA.AI integrates VBS video transmission and DFS data fusion to transform massive city video, IoT sensor, and infrastructure data into strategic intelligence for resilient urban safety governance.
Integrating AI image recognition, IoT sensing data, edge computing, and cross-system API integration, ViDA.ai transforms distributed urban data into real-time perception, event interpretation, risk warning, and decision-support capabilities, creating an AIoT data middleware platform for smart cities.
Integrates multi-source video streams such as CCTV, IP cameras, and NVR systems. Supports real-time access, transcoding, stream distribution, and permission control, transforming distributed video nodes into a schedulable and analyzable city-level visual data network.
Integrates IoT sensing, video events, databases, and external open data through ETL data pipelines. Data is cleaned, standardized, and time-series aligned to build a middleware data platform for AI inference and decision analytics.
Fuses video, sensing, and event data for real-time inference, object detection, trajectory tracking, and preliminary event assessment at the edge. Cloud-based AI models further support deep analysis and cross-site decision-making.
Uses a microservices architecture and standardized APIs to connect different business systems. Supports data exchange, event synchronization, and workflow automation across traffic, police, water management, parking, and command center platforms.
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[VBS-NEURON-INIT] City CCTV video sources securely connected. Edge video processing reports normal operation with stable compressed stream traffic.
Uses AI video analytics and edge inference to monitor intersection traffic flow, congestion status, and abnormal events in real time. Supports signal strategy optimization, violation detection, and traffic management decision-making.
Integrates ANPR license plate recognition, parking occupancy detection, and cloud parking services. Supports paperless entry and exit, available-space guidance, and multi-payment integration to improve parking facility operational efficiency.
Uses AI event detection models to rapidly identify abnormal conditions such as pedestrian intrusion, wrong-way driving, stopped vehicles, fallen objects, and smoke. Helps improve safety management efficiency for roads, tunnels, and public areas.
Integrates environmental sensors, image recognition, and disaster prevention data models to monitor smoke, noise, PM2.5, AQI, water levels, and slope rockfall risks, building a real-time warning and event notification mechanism.
Consolidates cross-domain data, AI events, and IoT sensing information. Presents citywide situational awareness through BI charts and GIS maps, helping managers quickly understand risk correlations and implement proactive governance.
Addressing urban security challenges, we break down traditional system silos and integrate distributed video and sensing resources into a defense network with decision-making value.
Integrates surveillance video from entrances, exits, borders, coastal defense, and railway sites. Enables real-time transmission and ensures uninterrupted video delivery.
Aggregates IoT, video, and sensing data to build a cross-domain single source of truth.
Supports real-time event detection, behavior analysis, and cross-camera tracking.
VIDA.AI Big Data Platform Services
VIDA.ai Big Data Platform Services
Video Fusion
Video Broadcast Server
Depth-first Search
Depth-First-Search
Metagraph Vision Service Solution
AI Metagraph Vision Service Solution
For high-traffic intersections such as urban corridors and areas in front of post offices, AI image recognition and event-sensing technologies are introduced to analyze pedestrian flow, vehicle flow, and conflict points in real time. The system dynamically adjusts signal control strategies and warning displays, reducing congestion risks during peak hours while improving traffic efficiency and road safety.
Deploy AI video monitoring on critical tunnel road sections to automatically detect abnormal events 24/7 and shorten emergency response time.
Integrates IoT sensing and video data to monitor water levels, reservoir conditions, and air quality in real time, enabling practical predictive management.
HiPower’s core AI engine uses deep learning to analyze data streams, enabling high-accuracy object recognition, behavior tracking, and key event detection. It is designed for complex urban and transportation environments.
Supports private cloud, public cloud, and hybrid cloud deployment models. Flexible configuration can be applied based on field requirements and regulatory compliance, ensuring data sovereignty, system independence, and long-term governance.
Adopts an Active / Standby architecture with multi-layer backup mechanisms to ensure stable year-round system operation, with service availability reaching the 99.99% level.
Combines an AIoT edge computing architecture to process events immediately at the data source, enabling millisecond-level response capability and reducing centralized computing latency risks.
Through containerization and modular design, the platform supports rapid service expansion and cross-domain deployment, enabling a long-term growth architecture with both horizontal and vertical scalability.
Built on a stable hardware architecture and highly reliable software stack, our platform integrates hyper-converged servers with an Active / Standby database design, providing a stable and sustainable operational foundation for large-scale data processing and AI computing.
Provides 24/7 intelligent monitoring for critical infrastructure such as power, water utilities, and telecommunications facilities, preventing illegal intrusion, vandalism, and abnormal behavior.
Combines long-range video and radar data to automatically detect illegal crossings, stray movements, and suspicious behavior.
Applies AI behavior analytics to detect abnormal behavior, unattended objects, smoke, fire, and other high-risk events.
Integrates AQI, water level, and microclimate data to build a comprehensive environmental view and strengthen disaster prevention and response capabilities.
From edge sensing and data fusion to intelligent decision-making, the platform builds a traceable, verifiable, and scalable city-level defense architecture.
The Vida.ai platform supports a wide range of smart scenarios, bringing a new dimension to management and decision-making.
Integrates real-time urban data from multiple sources, providing citywide monitoring and early warnings for unexpected incidents to help managers make faster decisions.
War Room Dashboard
Combines GIS and BIM technologies to digitize physical spaces, enabling precise geographic positioning and facility management.
GIS / BIM IntegrationUses AI engines for people-flow detection, behavior recognition, and safety monitoring, enhancing security levels across districts and campuses.
Multimodal AI Engine
Accurately analyzes pedestrian attributes, clothing colors, movement trajectories, and people-flow heat zones.
Multi-country ANPR with high-speed vehicle recognition and vehicle type classification.
Provides real-time insights into intersection traffic volume, congestion levels, and traffic signal efficiency.
Performs skeletal tracking and posture analysis to trigger real-time fall alerts.
Provides real-time sensing of air quality, temperature, humidity, and noise.
Uses AI vision for real-time fire early warning while reducing false alarms.
Detects foreign objects and suspicious events in public spaces with real-time alerts.
Visualizes water-level sensing and flood-risk conditions in real time.
Identifies accidents, wrong-way driving, and abnormal vehicle stopping in real time.