Author

David Fehrenbach

David is Managing Director of preML and writes about technology and business-related topics in computer vision and machine learning.

This article compiles the latest tutorials for the preML Dashboard. The dashboard includes various functionalities such as managing image datasets, training AI models, and displaying live systems.

Die farbig markierten Annotationsrahmen zeigen grün markiert die Erkennung der Objekte in den vorhergesehenen Aussparungen, in rot markiert fehlende Objekt

Image 1: All tutorials are also available on our Youtube Kanal (c) preML GmbH

Video 1: Welcome – orientation and navigation on the preML dashboard

Video 1: First insight into our dashboard

This video briefly introduces the dashboard. We explain the structure, navigation and how to get help.

Video 2: Train the first anomaly detection model in 5 minutes

Video 2: Train anomaly detection

In this video we show how to train an anomaly detection model with your own data set. In the “Demo” project, you also have the possibility to train the first model with the existing demo data.

PS: You can find out how to create a good data set for anomaly detection in this article: Dos and Don’ts for Anomaly Detection

Video 3: Build a demo inspection system with your own webcam

Video 3: Inspection system with webcam and own anomaly model

This video shows how you can use the webcam to simulate your own inspection program. This involves creating a new inspection system, recording data directly with the webcam and training your own anomaly model. This model can then be tested directly with the webcam.

And now have fun trying it out!

If you have any questions, requests or feedback, please send us an e-mail or make an appointment with us directly:

We look forward to releasing more videos soon!

David

Feel free to contact us anytimes at contact@preml.io

Autor

David Fehrenbach

David is Managing Director of preML and writes about technology and business-related topics in computer vision and machine learning.