Process video locally
Run detection and application rules close to cameras. Production processing takes place on site without streaming video to Studio.
Awakedata Edge
Run industrial AI applications where your customer operates.
Different customer sites bring different cameras, hardware, and networks. Assess compatibility and deployment requirements, then run approved applications on supported on-site systems.
Connect cameras and run industrial AI applications on supported devices and on-site servers. Process video locally and monitor events and execution health.
Discuss your customer projectRun Industrial AI Applications On Site
Local execution is an established part of Awakedata’s deployment experience. Country Garden’s construction safety rollout paired on-site detection with local warnings. Edge carries forward the on-site execution role in today’s product family.
Deploy on supported hardware
Use Edge software on compatible devices or inference servers. Match the model and acceleration backend to the hardware selected for your deployment.
See what is happening
Use the local interface to configure operation and inspect events and health. Processing counters help distinguish an empty scene from a camera or inference fault.
Start at one site, grow with your operation
Connect
Bring camera sources into the local runtime.
Run
Execute released models and application packages.
Inspect
Review events and processing health locally.
Expand
Connect nodes to Hub for coordinated management.
How Edge fits the platform
Edge performs inference and executes application logic. It can operate as a standalone node with a local interface or join a fleet managed by Hub. Hardware compatibility and capacity depend on the selected device, models, and workload.
Planning a new deployment or an upgrade? Talk to us about available capabilities and the right configuration for your site.