Elevating Digital Twins with Intel® SceneScape
Intel® SceneScape is a cutting-edge spatial intelligence platform that converts raw sensor data into four-dimensional digital twins of the real world. By combining input from LiDAR, radar, cameras, and more, it delivers precise, real-time tracking and spatial awareness across complex environments.
As part of the Intel Metro AI suite, Intel® SceneScape is a cost-effective, cutting-edge spatial intelligence solution blueprint that converts raw sensor data into four-dimensional digital twins of the real world. By combining input from sensors, LiDAR, and cameras, then applying AI inferencing, it delivers precise, real-time tracking and spatial awareness across complex environments.
As a leading industrial PC provider, Axiomtek is proud to be among the fastest companies to integrate and support Intel® SceneScape for smart city, edge computing, and ITS (Intelligent Transportation Systems) solutions. From traffic optimization and accident forensics to asset tracking, this solution merges complex sensor data with AI video analytics into actionable insights that will help you respond faster, operate smarter, and plan with confidence.
What is a Digital Twin?
A digital twin is a dynamic, virtual representation of a physical object, system, or environment that is continuously updated with real-world data. By integrating inputs from various sensors, digital twins provide a real-time mirror of their physical counterparts, enabling enhanced monitoring, analysis, and optimization. Digital twins are utilized across various industries, including manufacturing, healthcare, and urban planning, to enhance operational efficiency, reduce costs, and improve system reliability.
Real-Time Synchronization: Digital twins are kept current through continuous data streams, ensuring they accurately reflect the state of the physical entity.
Simulation and Prediction: They allow for the simulation of scenarios and the prediction of outcomes, aiding in decision-making and strategic planning.
Integration with AI: Intel's OpenVINO framework provides highly optimized AI inference models, helping digital twins automate responses and adapt to changing conditions.
From Static Video to Dynamic 4D Insight
Intel® SceneScape breaks through the limitations of traditional camera-based AI. With support for multi-sensor fusion, the platform provides 360-degree visibility and predictive analytics across time and space.
From Video Feeds to Insight
- Works with any installed cameras and sensors; no need for costly upgrades to infrastructure
- Reliable performance in harsh, low-light, or high-interference conditions
- Accurate and optimized AI inferencing to track any object with no double-counting
Make Smarter Decisions
- Intel® SceneScape enables continuous improvement with:
- Live operational monitoring
- Historical analysis to find inefficiencies
- Predictive modeling to prevent disruptions
How It Works
- Upload a layout or map of your space
- Calibrate your sensors
- Activate live spatial tracking and AI analytics
- The low-code interface allows deployment by teams of all skill levels; no complex development required
Smart City Applications Made Smarter
From buildings to streets to entire city grids, Intel® SceneScape empowers public and private sectors to monitor, manage, and optimize their environments with real-time spatial intelligence. Whether improving energy efficiency, reducing congestion, or tracking assets across complex sites, these digital twin solutions are ready to meet the needs of modern smart cities: scalable, adaptable, and built for what’s next.
Enhance operational awareness inside commercial buildings and critical facilities.
- Monitor real-time occupancy, foot traffic, and equipment movement
- Trigger automatic HVAC, lighting, and energy systems based on usage patterns
- Strengthen security through behavioral anomaly detection and automated alerts
Enable coordinated, city-wide intelligence to improve public safety, security, livability, efficiency.
- Visualize urban activity with fused data from sensors, cameras, and traffic systems
- Automate lighting, signage, and response systems based on real-time movement
- Support sustainability goals through better resource planning and incident response
Turn static systems into responsive, real-time mobility solutions.
- Detect open parking spots and guide drivers through integrated navigation
- Track vehicles, bikes, and pedestrians across intersections and corridors
- Adjust traffic signals dynamically based on live congestion and predictive trends
Bring visibility and responsiveness to energy distribution and resource networks.
- Monitor energy flow, grid load, and infrastructure status across wide areas
- Simulate emergency scenarios, predict outages and detect anomalies before they escalate
- Proactively respond to maintenance needs and plan for new integrations in a cost-efficient manner
Create a synchronized, sensor-rich production environment with live spatial context.
- Track material flow, equipment status, and worker location across the factory floor
- Enable predictive maintenance and reduce unplanned downtime
- Simulate workflows and adjust layouts to maximize output and safety
Gain full spatial awareness of your critical assets across indoor and outdoor spaces.
- Locate tools, vehicles, or inventory in real time down to the last meter
- Prevent loss or downtime by tracking movement patterns and dwell time
- Monitor high-value or mobile assets across large campuses and transit hubs
Rugged Edge AI Systems that Power Smart Cities of the Future
Early adopters of digital twin technology are choosing Axiomtek's rugged edge AI systems for their reliability and fast deployment cycles. We help customers to quickly adopt the newest technologies, such as Intel® SceneScape, with reliable and powerful industrial PCs designed to perform in demanding environments. Our solutions can be deployed as smart road-side units (RSU) for traffic management and road analytics, powerful workstations for digital twin and forensic applications, edge ai controllers for factory digital twins and predictive maintenance, and more. Our Design Engineering Service team is ready to help you create the optimal system setup to deploy Intel® SceneScape into your environment.
Axiomtek's eBOX630B Fanless Embedded AI System is an Intel® Recommended System that has been verified to fully support deployments of Intel® SceneScape and support its features.The eBOX630B delivers the performance, durability, and I/O flexibility needed to power advanced spatial intelligence at the edge. Designed for compute-heavy workloads and harsh environments, it’s the ideal hardware companion for real-time 4D digital twin applications.
Axiomtek’s IPC920 Fanless Industrial System is an Intel® Recommended System that meets Intel® SceneScape’s published edge-node requirements and has additional headroom for scaling up camera deployments. The IPC920 offers robust performance, flexible I/O, and expansion options to support demanding spatial computing workloads. Its fanless, rugged design makes it a reliable platform for AI-driven video analytics at the edge.
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