Applications

Applications

Find out how our technologies optimize processes and solve challenges across a wide range of industries.

Dashboard of a car with code labels glued on it

How can codes on dashboards be reliably read from a long distance?

Reliably reading codes on dashboards from a long distance is often a challenge in production – especially at awkward angles and small labels. The article shows how a high-resolution smart camera in combination with suitable optics and infrared illumination stably captures codes even from 1.6 m and thus enables efficient, automated identification.

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Sketchy representation of a pump

Reliable DMC and OCR reading on high-gloss pump housings

The traceability of high-gloss metal components often fails due to annoying reflections. In this application description, you will learn how the Smart Camera B50 reliably recognizes needled codes and digits on pump housings using an adaptable polarizing filter and integrated OCR functions – directly connected via Profinet.

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Industrial filling line with a series of glass bottles on a conveyor belt during a high-speed vision inspection.

Presence check of the best-before date on the neck of the bottle

The precise inspection of the best-before date at high speed places high demands on image processing – especially when changing products. This article describes how the combination of a powerful control unit, machine vision camera and optimized print positioning creates stable contrast even in dark liquids, enabling reliable high-speed control.

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Rotating metal shaft of a steering mechanism in industrial production

Angle detection of a rotating metal shaft in the machining center

A rotating metal shaft is to be precisely aligned with a milled recess in the machining center. The article shows how angle measurement works with a profile sensor, how a defined zero point is set and how the rotation is automatically stopped at the right moment – for reproducible and reliable positioning.

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Sketch of a vision pick-and-place system with a rectangular die-cut part under camera and backlight

Vision-based pick and place for testing and separating stamped parts

Gripping unsorted stamped parts in the correct position and at the same time checking for type and dimensional accuracy poses challenges for many manufacturing processes. The article shows how a smart camera with backlighting under the conveyor belt precisely detects and evaluates different components and transfers them to a pick-and-place robot in a precise position – for process-reliable separation of IO parts.

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