May 28, 2026 | 11:00 Uhr 
Live on ZOOM

A machine vision system can only inspect what it can clearly see.

In industrial quality control, this simple fact often decides whether an application works reliably or produces unstable results. Scratches, edges, surface structures, contamination or defects may be physically present — but if the lighting is not right, they may not appear clearly in the image.

Before software can detect a defect, the light has to reveal it.

That is why lighting is not just an accessory around the camera. It is one of the most important factors in every machine vision setup. The right illumination can improve contrast, reduce reflections, reveal hidden details and create the stable image quality needed for reliable automated inspection.

We will take a practical look at how lighting influences image quality, contrast and inspection reliability. We will show how different lighting methods, wavelengths, filters and optical setups can be used to make defects visible and improve automated quality control.

The webinar will cover topics such as:

Wavelength selection: why the right wavelength can reveal details that are difficult to see under standard lighting

Color vs. monochrome evaluation: when color information is useful and when monochrome images are the better choice

White light, monochrome light, thermal and X-ray evaluation: how different radiation types create different inspection possibilities

Axial and coaxial light: how direct illumination can support inspection of reflective or flat surfaces

Dark field illumination: how scratches, edges and surface structures can become more visible

Laser line applications: how laser profiles support measurement, positioning and shape inspection

Thermal imaging: when temperature differences can be used for inspection and process control
Filters: how polarization filters, bandpass filters, intensity reduction filters and color filters help improve contrast and image stability

Lens selection: how endocentric, telecentric, hypercentric, Scheimpflug and endoscope lenses influence what the system can evaluate

Because in machine vision, better inspection does not always start with a better camera.
Very often, it starts with better light.

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