AI for vision tasks: IDS NXT and its possibilities

This video introduces the wide‑ranging possibilities of IDS NXT for AI‑powered vision tasks and explains how the platform simplifies deep learning for both beginners and experts. You will learn how IDS NXT supports key AI applications - classification, object detection, segmentation, and anomaly detection - while removing the usual barriers of AI (Artificial Intelligence) knowledge, programming skills, and costly training hardware.

The presentation highlights how IDS NXT ocean enables users to collect, label, train, and deploy neural networks without coding, making AI adoption accessible across production environments. You’ll also discover how developers can build custom solutions using the vision app creator and IDS NXT ferry. Whether you’re looking for turnkey tools or full development freedom, this video shows how IDS NXT accelerates real‑world AI vision projects.

Topics covered

  • Core AI tasks: classification, object detection, segmentation, anomaly detection
  • How IDS NXT ocean flattens the learning curve for non‑experts
  • Image collection, labelling, training, and deployment workflow
  • Turnkey vision apps for fast implementation
  • Developer tools including the vision app creator and IDS NXT ferry
  • Benefits of the IDS NXT design‑in kit for rapid project starts

Video timeline

  • 00:00 - Introduction
  • 00:15 - Refresher of the previous session
  • 02:12 - Sample use-case classification
  • 02:31 - Sample use-case object detection
  • 04:10 - Persons who use AI
  • 05:13 - User solution
  • 05:56 - IDS NXT ocean
  • 08:05 - Developer solution
  • 08:51 - Vision apps
  • 10:18 - Pick and place with IDS NXT
  • 11:00 - IDS NXT ocean and our expert tools
  • 11:11 - IDS NXT design-in kit
  • 11:53 - Summary

Who should watch

This video is ideal for production engineers, machine vision users, developers, and anyone seeking an accessible yet powerful route into AI‑based vision solutions.

Discover how IDS NXT makes AI vision easy and practical - watch now and start exploring your own AI projects with confidence.