Quality inspection with DENKnet AI in 15 images | Video

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15 Images to Quality Inspection: Use the power of AI Vision with DENKnet!

AI: cameras & software

Discover how to perform fast and accurate quality inspections using the DENK Vision app and DENKnet AI – all with as few as 15 images. This video demonstrates how to create image evaluations for defect detection, classification, and segmentation without complex coding or large datasets.

You’ll learn why AI-driven image analysis is transforming industrial quality control, how to set up your own inspection workflow, and how to optimise production with automated decision-making. From crack detection to OCR (Optical Character Recognition) and anomaly identification, this session shows practical examples and advanced features like one-click annotation for rapid setup.

Topics covered

How to create image evaluations with only 15 images
Detecting cracks, defects, and anomalies in production
Using classification and segmentation for quality control
Applying OCR and multi-class detection in industrial use cases
Speed and accuracy benefits of DENKnet AI
Upcoming features like one-click annotation for faster workflows

Video timeline

00:00 - Hello and welcome
00:35 - Partnership
01:20 - What can you do with DENKnet
07:05 - DENK Vision AI Hub introduction and features
16:12 - Create and train a network in minutes

Who should watch

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

Watch now to see how easy it is to build powerful AI-driven quality checks with DENKnet.

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Further information

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