# Quick Start: Edge AI Manufacturing Inspection

A safe, non-proprietary walkthrough of IntelFactor for edge AI manufacturing inspection. Use it to review real-time defect detection and traceability basics.

### What this Quick Start covers (and what it doesn’t)

The Quick Start demonstrates:

* How IntelFactor fits into an OT factory environment
* What production signals the edge node observes
* How computer-vision inspection outcomes are produced and surfaced
* How evidence and metadata support an audit trail

The Quick Start does not represent a full production deployment. It avoids proprietary model logic and customer-specific thresholds.

### What to expect in the demo

In a minimal demonstration, you may see:

* A single inspection point with cameras or sensors
* Representative defect conditions for visual quality control
* Inspection outcomes with basic visualization
* Evidence artifacts for traceability and later review

Additional capabilities may be available depending on deployment.

### Reviewer checklist (keywords to listen for)

Use this as a lightweight evaluation script:

* **Edge-first / on-prem**: outcomes continue without internet dependency.
* **Low-latency inspection**: decisions happen at the edge node.
* **Defect detection**: outcomes are consistent and reviewable by humans.
* **Traceability**: each outcome links to evidence and metadata.
* **Safety rails**: no automatic control actions without confirmation.

### Next steps

* [Start here](/doc/intelfactor-ai/getting-started/start-here.md)
* [System overview](/doc/intelfactor-ai/architecture-and-data/system-overview.md)
* [Acceptance tests & rollout gates](/doc/intelfactor-ai/validation-and-rollout/acceptance-tests-and-rollout-gates.md)


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