happy Easter
We wish you a relaxing Easter holiday – and will gladly return to your most challenging components afterwards.
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Not every testing task requires AI
Not every exam question requires machine learning. And some are unsolvable without it. The real challenge lies in knowing which of the two is the case.
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Events | News | Presence | Team | Completeness
Merry Christmas and a Happy New Year!
A year full of testing tasks is coming to an end. We thank everyone who entrusted us with their components – and wish you a Merry Christmas.
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Automotive | Defects | Diameter | Metal | News | Surface Defects | Contaminants
The most difficult surface is the one you can't see
Drill holes, pipe interiors, undercuts – there are inspection features that no camera can access from the outside. They can still be detected optically, but not with standard setups.
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2D Codes | Automotive | Defects | News | Surface Defects | OCR | Presence | Packaging | Logistics | Contaminants | Counting
Data Matrix codes: readable does not mean error-free
Your scanner reads the Data Matrix code reliably. This does not mean that the code is correct – and certainly not that your customer's scanner will also read it.
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Aachen Corporate Run 2025
MABRI.VISION at the Aachen Corporate Run 2025: With great motivation, energy, and team spirit, our employees successfully participated in this year's Aachen Corporate Run. Events like this demonstrate once again that we not only stick together as a team in our daily work, but can also celebrate successes together outside the office. A big thank you to everyone who took part – we are proud!
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Visit from Denso
Visit from Denso: Last week we had a visit from our partner DENSO. It was an exciting exchange that once again demonstrated how valuable strong partnerships are for our joint development. With ROBOT.SPECTOR, we aim to systematically expand our robot platform – and for that, we need innovative partners like DENSO, who support us with their expertise and…
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Machine vision is changing quality assurance – sustainably
Conclusion: Machine vision is fundamentally changing quality assurance. Automated image processing systems enable more precise, faster, and more consistent inspection processes. They create the foundation for data-driven optimization in manufacturing and set new standards in efficiency and product quality. Companies that adopt machine vision early on secure measurable efficiency gains, reduced scrap, and a significantly strengthened market position – today and in the future
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Limits and challenges of machine vision
What are the limits and challenges of machine vision? Machine vision is powerful – but not a sure thing. The systems require careful planning and adaptation to specific requirements. Influencing factors such as fluctuating lighting, complex surfaces, or a high degree of product variety can impair recognition accuracy. The solution? Experience, a sound understanding of the system, and modern approaches such as AI-supported image analysis. Because: With intelligent…
