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Vision + Inspection

Landing AI (LandingLens) + Ignite Lean

Available now

Landing AI brings deep-learning defect detection to discrete shops. Stream its findings to builds.

REST API Webhooks

How the Connection Works

Landing AI (LandingLens)
REST APIWebhooks
Ignite Lean
Into Ignite Lean
  • Pass/fail + model confidence
  • Defect annotations
Back to Landing AI (LandingLens)
  • Build context + model retraining feedback

How It Works

  1. 1LandingLens publishes inspection results via REST.
  2. 2Ignite Lean attaches results to builds and raises NCs on fail.
  3. 3Operator-verified feedback flows back for model retraining.

Recommended Workflows

How Landing AI (LandingLens) works best with Ignite Lean. These are recommended patterns: Ignite Lean fires the trigger, and how Landing AI (LandingLens) routes it (which work group, which device, which rule) is configured to your IT setup.

Inline inspection raises an NC instantly
Trigger A vision system flags a fail
  1. 1Landing AI (LandingLens) posts the fail result + defect image to Ignite Lean.
  2. 2Ignite Lean attaches it to the build and opens an NC.
  3. 3The line gates downstream steps until the NC clears.
Quality is enforced at the camera, not just after the fact.
Active recipe pushes to the camera
Trigger A build of a new product starts
  1. 1Ignite Lean pushes the active recipe / inspection model to Landing AI (LandingLens).
  2. 2The camera switches to the right configuration automatically.
  3. 3Operators never select a recipe by hand.
No mis-set cameras, no false fails.

Connect Landing AI (LandingLens) today

This works now through our REST API, outbound webhooks, and Excel/CSV. Start with the API reference, or talk to us about a guided setup.

API ReferenceTalk to Us