---
lang: en
title: "AI vision added to an existing conveyor"
url: https://nabrio.com/customers/conveyor-sorting-retrofit
canonical: https://nabrio.com/customers/conveyor-sorting-retrofit
updated: 2026-10-27
publisher: Nabrio Co., Ltd. (nabrio.com)
---

# AI vision added to an existing conveyor

Nara adds flexible AI vision to a traditional conveyor. The conveyor can now reject items by code, text, colour, or any feature an AI model can learn, and fewer inspection staff are needed.

- Customer: A conveyor system operator
- Sector: Manufacturing · logistics
- Deployment: On-premise: camera on an existing conveyor, rejector via PLC
- Status: Completed

## Challenge

Traditional conveyors lack scalable AI capabilities. Every new inspection rule meant new hardware or manual inspectors.

## Solution

Nara was integrated with the conveyor’s camera and PLC, so inspection rules can be changed in a visual flow rather than in hardware.

## How it works

- **Input:** Camera and item sensor on the conveyor
- **Process:** Nara vision: codes, OCR, colour or a trained model
- **Action:** The PLC drives the rejector

## Results

- Rejection based on 1D/2D codes, text (OCR), colours, or features trainable with AI
- Fewer inspection staff needed

## Nabrio components

- Camera nodes
- Code reader
- OCR
- Colour detection
- Custom models (Reva)
- Modbus to PLC

## Related use cases

- [Defect detection and rejection](https://nabrio.com/use-cases/defect-detection-and-rejection.md)
- [Barcode and label inspection](https://nabrio.com/use-cases/barcode-and-label-inspection.md)
- [Sorting and grading](https://nabrio.com/use-cases/sorting-and-grading.md)