AI-based quality inspection with IDS NXT cameras | Video

Share on:

AI-based quality inspection for production processes made simple

AI: cameras & software

Discover how AI vision technology can transform quality assurance in manufacturing. This video explains how IDS NXT cameras and machine learning enable automated defect detection, anomaly monitoring, and predictive maintenance – reducing manual inspections and improving efficiency.

You’ll learn why AI-based image processing is ideal for tasks that are difficult to solve with rule-based systems, such as detecting subtle defects, handling natural variations, and monitoring system health. We also show practical examples, from snap ring checks to wood grain inspection, and explain how IDS NXT makes AI vision accessible for everyone through intuitive tools and workflows.

Topics covered

How AI (Artificial Intelligence) vision improves quality assurance in production
Practical examples of defect detection and anomaly monitoring
Using IDS NXT lighthouse for CNN (Convolutional Neural Network) training and validation
Benefits of AI vision for complex and variable inspection tasks
No-code and block-based tools for easy application development
Options for beginners and experts to implement AI vision

Video timeline

00:25 - Session description
02:38 - Introduction in AI vision
05:44 - Application: check fit of snap rings
09:24 - Application: wood check
11:35 - AI vision with linescan
13:44 - AI based system monitoring
15:44 - Application: identify bottle tops
16:49 - Application: smart farming
18:23 - Easy AI Vision workflow for everyone
23:39 - How to evaluate AI vision without camera

Who should watch

This video is ideal for quality managers, production engineers, machine vision specialists, and anyone looking to implement AI-based inspection in industrial environments.

Watch now to see how AI vision can optimise your quality assurance.

Discover products

Further information

Similar content

Thumbnail from Vision Channel Session " How-To use AI-based inference with IDS peak"

How-to use AI-based inference with IDS peak

Would you like to integrate AI-based image analysis into an existing application without the need for special intelligent cameras or having to familiarise yourself with AI-based image processing?

11 February 2025

Thumbnail from Vision Channel Session "Reliable AI vision works without environment adjustments!"

Reliable AI vision without labs or complex setups

Reliable image processing usually starts with a perfectly staged object environment to ensure stable and reproducible camera images.

26 November 2024

Thumbnail from Vision Channel Session " Build and deploy ai based machine vision systems"

How-to build and deploy AI-based machine vision systems

The use of machine learning operations in image processing applications makes it possible to solve tasks that were previously difficult or only possible with a great deal of effort.

25 June 2024

Thumbnail from Vision Channel Session " How-To read any text reliably with DENKnet OCR"

How-to read OCR with DENKnet for industrial applications

Would you like to know how reliable machine reading of any type of character string is possible?

19 March 2024

Thumbnail of Vision Channel Session “How-to best create an IDS lighthouse dataset”

How-to create a high-quality image dataset for object detection

Let's talk about datasets and what needs to be done to get the best results for AI vision applications!

22 December 2023

Knowledge base

AI Applications of Inference Cameras

The application possibilities based on intelligent cameras are almost limitless. The technology is transforming virtually every industry - and is no longer just a topic for image processing experts.

5/3/2021

AI for the food industry

IDS NXT cameras with artificial intelligence can solve tasks involving the detection of organic and variant-rich objects.

12/16/2020

Inference by recipe

With OPC UA, AI-based machine vision tasks can now be integrated directly into factory automation.

11/22/2020

Back to the overview