CCTV-based Digital Twin
See your whole factory on one screen.
EXPERIENCE
Factory Vision AI Agent
Ask your factory why. It answers with the footage.
Robot Simulation
Test a robot inside your digital twin before you buy it.
WHY DIGITAL TWIN
Video shows a scene. A twin explains the factory.
WHERE
Every camera mapped to its zone
WHAT
People, machines, processes connected
WHY
Events traced to their impact
HOW WE BUILD
How CCTV becomes a digital twin
01
Cameras see the floor
02
AI reconstructs the space in 3D
03
Events and status connect to the twin
*CAD, where available, refines dimensions.
NVIDIA ECOSYSTEM
From vision to generative AI deployment on the NVIDIA ecosystem
Video understanding, domain customization, and AI agent layer deployment work as one operating flow.
VISION01
NVIDIA DeepStream
GPU-accelerated analytics turn multiple CCTV streams into real-time data about people, equipment, and events.
GENERATIVE AI02
NVIDIA NeMo + NIM
NeMo adapts generative AI to factory terminology, equipment documents, and event records, while NIM deploys it to the ProboticsOS agent layer.
SIMULATE03
NVIDIA Omniverse + Isaac Sim
A virtual factory validates robot and equipment routes, collisions, and workflows before they are deployed on the real floor.
Video Intelligence → Factory AI Agent → Digital Twin Simulation
ROBOT & MACHINE SIMULATION
Prove it before you install it.
Robot and machine designs run inside the digital twin — routes, collisions, cycle time, throughput.
FAQ
Frequently asked questions
Can we use existing factory CCTV?
In most cases, yes — we start with the cameras you have.
What evidence can the AI provide?
The experience can include relevant footage, event time and location, and the connected equipment and process status.
Can robot and machine designs be simulated?
Provided design data can be placed in the digital twin to validate layout, routes, collisions, throughput, and the effect of environmental changes.