---
title: "LumiScan AI Object Matching"
description: "LumiScan AI Object Matching detects trained objects with neural networks and reports class, position, orientation and score to your PLC or robot."
product: "LumiScan AI Object Matching"
component: "lumiscan-ai-object-matching"
version: "2.1.0"
display_version: "2.1.0.9"
latest_version: true
language: "en"
url: "https://docs.hdvisionsystems.com/en/lumiscan-ai-object-matching/2.1.0/index.html"
---

# LumiScan AI Object Matching

|   |   |   |
| --- | --- | --- |
| ![Neural network and its model file model.onnx](https://docs.hdvisionsystems.com/en/lumiscan-ai-object-matching/2.1.0/_images/intro/step-1.svg)<br><br>**Bring a trained model.** Trained on your parts with LumiScan Training. | ![Mixed parts, each outlined with an oriented box, two with class name and score](https://docs.hdvisionsystems.com/en/lumiscan-ai-object-matching/2.1.0/_images/intro/step-2.svg)<br><br>**Detect objects in the image.** Each one with class, position, orientation and score. | Example result<br><br><br><br><br><br><br>Instances<br>4<br><br><br>Center<br>642, 388 px<br><br><br>Angle<br>−20.5°<br><br><br>Score<br>0.96<br><br>**Hand the result to your PLC.** Sorted by score, ready for the PLC or robot. |

LumiScan AI Object Matching uses neural networks to detect trained objects in camera images and reports each one with its class, position, orientation and score. It handles mixed, varied or hard-to-describe parts where rule-based matching struggles. You train the model on your own parts with LumiScan Training; the app runs it on ctrlX OS, optionally on a Hailo TPU, or on a Windows or Ubuntu PC with an NVIDIA GPU.

For licensing, see [Licence](https://docs.hdvisionsystems.com/en/lumiscan-ai-object-matching/2.1.0/lumiscan-ai-object-matching/requirements.html#licence). Questions? See the [FAQ](https://docs.hdvisionsystems.com/en/lumiscan-ai-object-matching/2.1.0/faq.html). A problem or an error message? See [Troubleshooting](https://docs.hdvisionsystems.com/en/lumiscan-ai-object-matching/2.1.0/troubleshooting.html).
