How-to use AI-based inference with IDS peak

Learn how to integrate neural networks into IDS peak for advanced AI-based (AI=Artificial Intelligence) image processing. This video shows you how to use the IDS peak Inference Library to add intelligent features to your machine vision applications without needing a smart camera.

You’ll discover how to train networks with IDS lighthouse, reuse CNNs (Convolutional Neural Network) from IDS NXT cameras, and deploy them on any IDS industrial camera via IDS peak. We also cover practical steps for testing in IDS peak Cockpit and integrating inference into your own application using the Comfort C API.

Topics covered

  • How to integrate AI-based image processing with IDS peak
  • Using IDS lighthouse to train neural networks
  • Reusing CNNs from IDS NXT cameras in IDS peak
  • Testing inference in IDS peak Cockpit
  • Implementing CNNs in custom applications with Comfort C API

Video timeline

  • 00:00 - Introduction of AI-based inference with IDS peak
  • 01:32 - Benefits of IDS peak
  • 02:08 - Required components and setup
  • 02:39 - Neuronal network trained with IDS lighthouse
  • 06:18 - Usage with IDS peak
  • 11:00 - Summary

Who should watch

This video is ideal for vision engineers, developers, and system integrators looking to enhance machine vision applications with AI-based image analysis using IDS cameras and IDS peak.

Watch now to unlock the potential of AI-powered machine vision with IDS peak.

Further links and downloads