September 24. | 11 AM CET
Live on ZOOM

Reliable code reading depends on more than the decoder itself. Camera position, viewing angle, illumination and mechanical stability all have a direct impact on image quality – and therefore on the reliability of the inspection result.

In this webinar, we take a practical look at the complete machine vision setup for industrial code reading: from stable and flexible camera positioning with EyeMount to image acquisition, code decoding and AI-supported inspection with EyeVision.

We will show how EyeVision can read and process common 1D and 2D codes such as barcodes, QR and DataMatrix codes, even when applications involve changing orientations, difficult surfaces, low contrast or varying code quality.

The webinar will also look at where classical code reading reaches its limits and how AI and Deep Learning can complement conventional methods – for example when dealing with difficult text, variable characters or additional visual quality checks around the code.

The goal is not simply to decode a code, but to create a reliable inspection process in which mechanical setup, image quality, classical image processing and AI work together.

What you will learn

• Why camera position, lighting and mechanical stability matter for reliable code reading
• How EyeMount supports flexible and reproducible machine vision setups
• How EyeVision reads and processes 1D and 2D codes in industrial applications
• How to handle changing orientation, difficult surfaces and varying code quality
• Where conventional code reading is the right approach – and where AI can add value
• How code reading, OCR and additional visual inspection can be combined within one EyeVision application

From camera mounting to the final inspection result, we will show what it takes to build a code reading solution that works reliably in real production environments.