CodingNexusVision — an industrial vision-AI engine with a clean API and no vendor lock-in.
CodingNexusVision is the in-house vision-AI engine that grew out of the orchestrator engagements. It is designed as a drop-in component: clean REST and gRPC API, deterministic resource usage, on-premise by default.
An engine, not a platform.
CodingNexusVision is a focused industrial vision engine — it ingests images and returns verdicts (classification, defect localization, score). It does not try to be a full orchestration layer; for that, it is consumed by NexusVisionOrchestrator or any other system that speaks its API. This separation is deliberate. Most vendor offerings bundle an engine, an orchestration layer, an annotation tool and a deployment portal into one product, then license them as one product. Keeping the engine separate means you can swap orchestration without swapping the engine — and vice versa.
Three properties make it usable in industrial deployments. Deterministic resource usage: GPU memory footprint, CPU time per inference and latency variance are characterized at startup, not discovered in production. On-premise by default: no outbound traffic, no telemetry, offline activation. API-first: REST for control-plane operations, gRPC for high-rate inference, no SDK lock-in.
Where it lands.
Defect inspection
Surface defects, dimensional checks, presence/absence verification. Per-line or per-station.
Classification
Multi-class part recognition with confidence scoring. Outputs as labeled JSON or PLC-ready tags.
Vendor-comparison runs
Run side-by-side with another vendor's engine inside the orchestrator to settle build-vs-buy debates.
Discuss integration.
Most integrations land inside an AI Consulting engagement; this CTA pre-tags the conversation for the vision engine.
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