younique solutions 
for the field of industry

Vision – the key to your success! Find out how we turn optimally configured and perfectly coordinated vision components into a solution for our customers. The added value for you: Due to our extensive knowledge of applications, we are able to offer you the ideal solution within a short period of time – perfectly tailored to your application needs.

NET’s range includes not only individually computed optics and cameras configured or adapted to customer requirements, but also complete ready-to-use smart vision systems and IP cores. We are happy to help you choose the right vision products for more efficiency and safety in the areas of factory automation, quality control and visualization.

Open Camera Concept

Our key objective is to contribute to the individual success of our customers with vision solutions. We have developed the innovative Open Camera Concept® with this in mind. It allows users to program NET cameras themselves without any restrictions. Thanks to the ready-to-use development platform, you can arrive at your unique vision solution even quicker.

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Range of industries and applications

Selection according to technical requirements:

Target - actual comparison
Decentralized
Uncontrollable processes
Fast and accurate

Your application isn’t listed?

We will find the right components for your vision solution and will be happy to advise you at +49 8806 / 9234 0 or industrial@net-gmbh.com.

Examples of Best Practices:
SWIR smart camera – AI in the invisible range

SWIR cameras detect invisible defects, increase efficiency with AI and optimise production processes - ideal for semiconductors, electronics and the food industry.

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Training on the smart camera – how AI simplifies image processing

The iam smart camera uses hardware-accelerated deep learning networks for live image classification and provides classified images for other applications.

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Anomaly detection with AI-based smart camera

AI-based anomaly detection in industrial vision optimises automation and quality assurance by precisely detecting anomalies that are difficult to identify.

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