UA-.NETStandard/samples/Vision/VisualInspectionCell

Visual Inspection Cell

VisualInspectionCell is the server half of the visual-inspection sample. It hosts one address space containing four companion areas:

• Vision — BracketFixtureCamera, the FixtureImages inline PNG clip endpoint, and BracketInspectionPipeline.
• AI Model Management — the visual-inspection-primary deployment, a learning job, and the Invoke path used for model provenance.
• ISA-95 Job Control V2 — an allowlisted inspection order and a rework/reject order.
• Alarms & Conditions — OperatorDispositionDialog, a DialogConditionType used when a result is not decidable.

The server is intentionally a host for companion composition, not the owner of the production decision loop. The paired VisualInspectionAgent connects as an external orchestrator and drives the cycle with typed clients.

graph TD
    Server["VisualInspectionCell server"]
    Vision["Vision root"]
    Sensor["BracketFixtureCamera<br/>ImageSensorType"]
    Clip["FixtureImages<br/>inline PNG clips"]
    Pipeline["BracketInspectionPipeline<br/>InferencePipelineType"]
    AI["AI Model Management<br/>deployment + learning job"]
    Jobs["ISA-95 Job Control V2<br/>fixed order catalogue"]
    Dialog["OperatorDispositionDialog<br/>DialogConditionType"]

    Server --> Vision
    Vision --> Sensor
    Sensor --> Clip
    Vision --> Pipeline
    Pipeline -->|"Deployment"| AI
    Pipeline -->|"LearningJob"| AI
    Server --> Jobs
    Server --> Dialog

Running

Prerequisites: .NET 10 SDK.

dotnet run --project samples\Vision\VisualInspectionCell\VisualInspectionCell.csproj -- --insecure

The default endpoint is opc.tcp://localhost:62865/VisualInspectionCell. --host <name> and --port <number> configure the endpoint host and port. The anonymous operator role is mapped for the local sample.

--insecure is a demo convenience. It accepts untrusted certificates and must not be used for production systems.

It is also, in practice, required to run the pair on a fresh machine. The flag sets AutoAcceptUntrustedCertificates on the server, and without it the cell rejects the agent's self-signed certificate with BadCertificateUntrusted and the agent fails with BadNotConnected - which reads like a connectivity problem rather than a trust one. Start both halves with --insecure, or trust the agent's certificate in the server's PKI store first.

Startup options

Option	Meaning
--host <name>	Endpoint host name. Default localhost.
--port <number>	Endpoint port. Default 62865.
--inferenceLocation OnServer|EdgeOffServer	Selects the advertised Vision inference location. Default OnServer.
--insecure	Demo-only certificate convenience.

Fixtures and measurement

The cell serves three 800 x 600 PNG fixtures from Fixtures/ through the Vision media provider. The camera scale is 10 px/mm, so one pixel is 0.10 mm. That one-pixel pitch is carried as VisionCharacteristicDataType.Uncertainty; it is not invented to force a result.

Fixture	Why it exists
bracket-ok.png	Bore diameter is 12.00 mm, so the interval [11.90, 12.10] is wholly inside [11.80, 12.20].
bracket-not-ok.png	Bore diameter is 12.60 mm, so the interval [12.50, 12.70] is wholly outside the bore tolerance.
bracket-ambiguous.png	The intended slot is 8.15 mm, but at 10 px/mm it draws as 81.5 px and can only be represented as 8.10 mm. The interval [8.00, 8.20] straddles the 8.15 mm upper limit.

What the cell publishes

• BracketFixtureCamera (ImageSensorType) with simulated reality, RGB8, 800 x 600 resolution, 10 px/mm intrinsics, and fixture_table as the frame id.
• FixtureImages, an inline PNG clip endpoint with endpoint URI opcua-inline://visual-inspection-cell/fixtures.
• BracketInspectionPipeline, bound to the camera, an AI deployment, a learning job, VisualInspectionInferenceProvider, and VisualInspectionFeedbackSink.
• A fixed ISA-95 V2 catalogue with VIS-INSP-BRACKET-001 and VIS-REWORK-REJECT-001. InspectionJobControlProvider rejects any other job order id instead of accepting invented payloads.
• OperatorDispositionDialog, the human-disposition condition the agent uses when the deterministic rule returns NotDecidable.

Deliberately not implemented

The sample publishes and counts learning samples, but it does not pretend to retrain a model or promote a candidate. That is the same line taken by the AI Model Management sample: a simulated MLOps loop would mislead readers about the part of the specification a sample cannot honestly demonstrate.

Related docs

• Vision developer guide — see Visual inspection: a cross-companion cell
• Vision developer guide
• AI Model Management developer guide
• ISA-95 developer guide
• Alarms and Conditions