A food producer · Food processing
Chili powder graded by colour, with no training data
Nara uses colour detection to grade chili powder into quality levels automatically. It replaces subjective visual judgement with a consistent, recorded measurement.
- Customer
- A food producer
- Sector
- Food processing
- Deployment
- On-premise camera station
- Status
- Completed
Solution
A camera station captures each sample, and Nara’s colour detection and thresholds assign the quality grade, logged and shown on a dashboard. Not every QC task needs deep learning: Nara’s classic vision tools solve many problems quickly, with no training data.
How it works
- 01inputCamera station
- 02processColour detection and thresholds
- 03actionQuality grade, logged and shown on the dashboard
Results
- Consistent, recorded grading instead of subjective judgement
- No training data needed
Nabrio components
- Camera nodes
- Colour detection and thresholds
- Database table
- Dashboard
Use cases
Build the same thing on your site.
cameranara seesSorting and grading
Sorting products by type, grade or destination by hand is slow and inconsistent.
cameranara seesVisual quality inspection
Visual inspection by people is inconsistent and tiring, and it cannot keep up with line speed or cover every item.
See what Nara sees, on your own cameras.
Download Nara and build your first flow in minutes, or tell us what you need to see and do, and we’ll show you how it runs on your own hardware.