Updated
Infrenic builds AI visual quality inspection apps on Keel. Cameras on your line send images through an edge gateway, the model checks each item against your quality standard, and the app rejects defects, logs every one with a photo and notifies the shift lead. Inspectors review the hard cases instead of looking at everything.
What you get
Every item checked
Consistent inspection at line speed, on every shift, instead of spot checks by eye.
A photo for every defect
Each rejection is logged with the image and reason, so quality reports build themselves.
Your standard, your examples
Trained and tested on your own good and bad parts, and re-tested before every change.
People handle edge cases
Unclear items go to an inspector, whose decisions improve the model over time.
How it works
- 01
Share photos of good and defective parts
- 02
Mount or connect cameras on one station
- 03
See defect detection on your parts within 48 hours
- 04
Connect to rejects, reports and alerts
Built on Keel
Every Infrenic app runs on Keel, our engine for agents, knowledge, connectors, approvals and monitoring. It also connects to your hardware.
FAQ
Questions
Often yes, if they give a clear, consistent view of the part. We check image quality in the POC and recommend camera or lighting changes only where accuracy needs it.
A few hundred images of good parts and examples of each defect type is a good start. The POC tells you honestly what accuracy is reachable with your data.
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- Pricing
Your next AI app is a week away, not a quarter.
Thirty minutes to scope it. Then a working version on your data, free, whether or not you continue.