Edge AI for Manufacturing Inspection
IntelFactor is an edge-first, on-premises manufacturing inspection platform. It uses industrial computer vision for real-time visual defect detection.
It runs in OT environments and keeps working without internet. It produces auditable outcomes with linked evidence for end-to-end traceability.
What you can do with IntelFactor
Use IntelFactor for:
Inline visual inspection: low-latency outcomes from on-prem visual AI.
Defect detection + classification: consistent outcomes with safety rails.
Manufacturing quality control: outcomes operators and QA can review fast.
Traceability + audit trail: metadata and evidence packaged per outcome.
Local RCA / decision support: faster root-cause analysis at the edge.
Start here
Use this page to route quickly based on your goal (deployment, architecture, security, or validation).
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Key pages:
If you want a guided walkthrough, start with Quick Start (safe demo).
Scope
This documentation is intentionally high-level and customer-safe.
Covers:
Conceptual behavior (what runs where and why)
System boundaries and responsibilities (OT, edge, site, remote)
Inspection outcomes and evidence (traceability and audit)
Guarantees (continuity, evidence, traceability)
Reliability and safe degradation behavior in production
Excludes:
Internal implementation details
Proprietary model logic and training methodology
Customer-specific configurations and thresholds
For stricter guardrails, see Documentation boundaries.
For deployment-specific guidance, contact your IntelFactor point of contact.
Edge AI architecture at a glance (OT, site, remote)
What IntelFactor guarantees
Edge continuity: outcomes continue locally without Internet dependency.
Low-latency inspection: outcomes are produced at the edge in real time.
Traceability: each outcome is auditable via metadata and linked evidence.
Predictable failure behavior: no silent failure and no cloud gating.
Human-in-the-loop: recommendations support decisions, not automatic control actions.
Next steps
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