SCMVS
For configuring image settings, inspection tools, triggers and results on Hikrobot smart cameras. The inspection task runs on the camera and suits self-contained stations with a clearly defined function.

Machine vision software determines where images are processed, how inspections are configured and which results the machine receives. SCMVS runs inspection tasks on Hikrobot smart cameras. VisionMaster provides graphical PC-based processing. Custom software is suitable when operation, machine integration, data or AI model management require a dedicated application.
Available software environments
The suitable environment depends on camera count, inspection complexity, operator interaction and the connection to a PLC, robot or production system. Recipe changes, version management and fault analysis also affect the choice.
For configuring image settings, inspection tools, triggers and results on Hikrobot smart cameras. The inspection task runs on the camera and suits self-contained stations with a clearly defined function.
For building image processing as a graphical workflow on an industrial PC. This path suits multi-stage processing, more extensive logic and applications where cameras, results and the machine interface are managed centrally.
For applications that require a dedicated user interface, data management or integration. The Sedeco platform supports annotation, model training, validation, deployment, inference and monitoring within one managed pipeline.
Software in the machine

The user configures acquisition, inspection tools, triggering and output. The smart camera then executes the task independently.
The user assembles processing steps in a graphical workflow. The PC processes the camera images and manages the logic and results.
Images, annotations and model versions remain traceable from development through production. Only a validated model is released for inference.
Custom development and integration
A standard vision environment can handle image processing while the production workflow requires additional software. Where needed, Sedeco develops the user interface, recipe handling, result logging and machine connections. AI applications can also include data and model management.
Representative images are annotated and divided for training and validation. Model versions and test results remain recorded, making it clear which version meets the acceptance criteria.
The approved model is deployed for inference. Logging and monitoring support fault analysis, maintenance and controlled updates when products or process conditions change.
Software architecture
Software, camera, optics, lighting and machine controls form one inspection system. Startup, product changeovers, fault handling, data storage and recovery after an interruption affect operation and maintenance as much as the inspection itself.
Differences in camera count, cycle time, processing load, recipe management and maintenance responsibility.
AI inspectionThe role of representative conforming, defective and borderline samples in dataset and model validation.
For OEMsVersion management, diagnostics, interfaces and replacement scenarios for repeatable machine functions.
Questions about the software architecture?
Camera count, inspection steps, cycle time, machine communication and responsibility for recipes and results help determine the suitable software environment. Representative images or products allow us to connect that choice to technical feasibility.
Vincent van Montfoort
Jeroen van den Berg