SDK and API design
Expose versioned inputs, outputs, errors and lifecycle behavior for customer applications.
- C/C++ or managed bindings
- HTTP/MQTT interfaces
- Schema and error model
Technical capability for packaging vision functions into maintainable SDKs, workstation applications, device services and platform integrations. Interfaces, state handling, diagnostics, versioning and acceptance behavior are defined together with the algorithm path.
The implementation route is selected from project inputs and verified against an agreed method.
Expose versioned inputs, outputs, errors and lifecycle behavior for customer applications.
Control cameras, lighting, triggers, I/O and acquisition states with recoverable error handling.
Coordinate preprocessing, inference, postprocessing and rule logic across one or more pipelines.
Provide configuration, live view, review, manual intervention and operator-level permissions.
Exchange commands, results and status with PLC, robot, MES, SCADA, WMS or customer platforms.
Record versions, logs, health, metrics, configuration and controlled updates for supportability.
Technical topics support multiple service categories and are combined according to the project architecture.
Operator interface, recipes, image records, decisions and PLC linkage.
Headless acquisition and inference service with a documented API.
Configuration, status, event and version management across edge nodes.
Controlled exchange with MES, WMS, SCADA, robot or cloud systems.
Each stage produces reviewable information so that technical assumptions, changes and acceptance evidence remain traceable.
Usually not for an operational system. Acquisition, preprocessing, state control, interfaces, diagnostics, deployment and version management also require defined behavior.
Yes, after confirming protocol, data mapping, handshake, timeout, retry, offline and acceptance requirements with the responsible system owner.
A documented architecture, versioned interfaces and dependencies, configuration separation, structured logs, automated checks, deployment instructions and a controlled update path.
Include the target, representative samples, cycle time, accuracy definition, operating environment, interfaces and intended deployment hardware. Feasibility and scope are confirmed after review.