Visual inspections in manufacturing processes often miss an existing defect or identify a defect that does not exist. Image recognition with DigitalNXT Vision makes it possible to unlock data from images and video recordings.

Efficient, accurate, consistent, and transparent product assessments

25% of all inspection errors in manufacturing processes are either incorrect identifications of non-existent defects or missed identifications of defects that do exist. Especially in complex quality assessments, manual visual inspections fall short of the mark. No matter how well-trained the inspectors are, their task is mentally heavy, dull, and relatively expensive. Their results differ between them and over time. With image recognition, we solve the problem of inspection errors by automating the manual visual inspections. With artificial intelligence, you can detect, segment, classify, and locate objects and then assess and label them based on specific criteria. This improves the quality standard and the efficiency of your inspections. It also creates more insight in the manufacturing process, which enables you to innovate base don a constant dataflow.

Ready-made product

DigitalNXT Vision is a ready-made inspection product with smart industrial cameras, a cloud environment, and an online portal. In the cloud environment, you can develop, train, and run models yourself. And in the portal, you monitor and improve the performance of those models and facilitate their integration with other IT applications through APIs. This way, you have a technical environment at your disposal to make complex quality assessments at the desired level with smart image recognition.

Start with smart image recognition in 4 steps

Image recognition based on artificial intelligence can be practically applied in almost any market. In just four steps, you implement DigitalNXT Vision for your organisation.

Online introduction

An online introduction and use case.

Use case validation

A 1-day workshop in which we will assess the technical and financial feasibility of the use cases.

20-day challenge

Start the 20-day challenge. Concrete first results to validate the business case and retrieve feedback.

Minimum Viable Product

MVP development and rollout over the various sites.

Online introduction

An online introduction and use case.

Use case validation

A 1-day workshop in which we will assess the technical and financial feasibility of the use cases.

20-day challenge

Start the 20-day challenge. Concrete first results to validate the business case and retrieve feedback.

Minimum Viable Product

MVP development and rollout over the various sites.

Twenty-Day Challenge

We believe that every organisation benefits from smart image recognition. But we also understand that you might want to start small. That is why we offer our 20-day Challenge. In 20 days, we build a PoV to validate your business case. Together, we will achieve a concrete result from which to move on.

Please contact our experts.

World Class Partners

We can only solve complex customer issues through cooperation within an ecosystem of excellent partners. Together we control the complete chain of business processes and innovative technologies.

more information about our PARTNERS 

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Zebra
Honeywell

BAM Case study

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OrangeNXT Casestudy BAM

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Please contact Huub van der Linden.

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Huub van der Linden

Would you like working with image recognition, AI, and data?

Working with data and AI requires expertise, inventiveness, and a goal-oriented mentality from you. As a member of our team of data and software specialists, you contribute directly to the success of our clients.

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