Despite all the differences between markets, the challenges are similar. All of our customers are looking for ways to optimise repeatable processes by means of new technologies. Complex quality assessments in which several characteristics are combined to determine a score are often still carried out by trained people. That task is mentally tough, boring and expensive and the results differ among themselves and over time. It is precisely in these circumstances that image recognition based on AI distinguishes itself from traditional image recognition or manual visual inspection.

Get more challenges and fun out of your work with AI

25% of inspection errors in manufacturing processes consist of incorrect identifications of non-existing defects or missed identifications of existing defects. Especially in complex quality assessments, manual visual inspections are inadequate. We use image recognition by means of automating manual visual inspections to solve these inspection error problems. AI allows you to detect, segment, classify, and locate objects and then assess and label them, based on specific criteria. In this way, you increase the quality standard by incorporating the knowledge and experience of your employees in algorithms. What’s more, the productivity of your inspections is also increased thanks to efficient, accurate, consistent and transparent product assessments. In addition, you create more insight into your process, allowing you to innovate on the basis of a continuous data flow. This gives you focus, and as a result we can make a difference together.

digitalNXT Vision is a powerful tool for automating manual visual inspections and consists of an environment in which you can develop, train and run the models, either by yourself or together with us. The portal allows you to monitor and improve the performance of the models and facilitate the integration with other IT applications. This provides you with a technically advanced environment to carry out complex quality assessments at the desired level using intelligent image recognition. As a result, you experience more challenges and obtain pleasure from your work and you strengthen your market position in a structural manner.

Succesfully implement image recognition in 4 steps

Image recognition based on AI is a practical possibility in almost every market. You can implement digitalNXT Search for your organisation in just four concrete steps:

Use-case introduction

An (online) introduction and use-case introduction.

Use-case validation

A 1-day workshop in which we check the technical and financial feasibility of the use-case.

5-day onboarding

Tangible first results that we use to validate the business case and collect feedback.

MVP

Development of the Minimum Viable Product (MVP) and rollout across the sites.

Use-case introduction

An (online) introduction and use-case introduction.

Use-case validation

A 1-day workshop in which we check the technical and financial feasibility of the use-case.

5-day onboarding

Tangible first results that we use to validate the business case and collect feedback.

MVP

Development of the Minimum Viable Product (MVP) and rollout across the sites.

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 

Microsoft logo

More information?

Please contact John Koot

Send an email Make a connection
John Koot - Sales and Marketing Director - OrangeNXT

Would you like to work with image recognition techniques, ML and AI?

Working with image recognition techniques, ML and AI requires your expertise, inventiveness and a goal-oriented attitude. As a member of our team of data engineers and data scientists, you will contribute directly to the success of our customers.

visit our jobs website