Integrate the signals.
Keep control of the stack.
Design perception workflows around your sensor mix, compute targets, and downstream applications. Start with the interfaces your engineering team actually needs.
Request technical detailsDefine the output before the adapter.
Detections, tracks, observations, and events need a shared interpretation. Discuss source identity, timestamps, coordinate frames, model context, and downstream consumers as part of the integration.
Plan your perception pipeline{
"source": "edge_node",
"timestamp": "<capture time>",
"coordinate_frame": "<shared frame>",
"observation": {
"type": "<configured event>",
"context": "<fused sensor context>"
},
"pipeline_version": "<version>"
}Conceptual data contract. This is not a published SDK or API specification.
Bring the constraints. Shape the interface.
Map your sources
List sensor models, transport interfaces, sampling behavior, available timestamps, and calibration relationships.
Choose the runtime context
Describe hardware resources, model execution needs, connectivity, deployment workflow, and diagnostic requirements.
Agree the contract
Define observations, event schemas, data ownership, consumers, and the validation needed for your application.
Make every sensor part
of a smarter system.
Bring your sensor stack. Let’s talk about what it could see.
