DENKblatt

Do you want a quick and easy good/bad rating for your products? It's very easy with our DENKnet "Classification"!

✔️ In just 1 minute you can annotate your images - "good" or "bad".
✔️ The first AI network is available to you in just 20 minutes.
✔️ Ready to go - download & implement the model!

How it works:

1. Annotate folder by folder: Upload a folder with "good" images (faultless products) and one with "bad" images (faulty products).

2. Start training: Press "Play" and start your AI training.

3. In about 20 minutes: You can download your first AI network and start using it immediately - locally, remotely or browser-based.

4. Optional additional minutes: Upload more images at any time to "further train" your AI - for optimisation or adaptation to new products.

Do you need a simple table system for simple pass/fail test? Our DENK Inspector is a barrier-free ‘closed-loop’ system, specially developed for this purpose. 

Write to us! (Duration: ~ 1 min. 😉) connect@denkweit.de

How AI helps to test natural materials more efficiently.

Wood, stone or natural lime - there is no two materials alike. That's what makes them so special. But anyone who works with natural materials knows that this diversity brings challenges - especially in quality control and sorting.

In a current project (details are unfortunately not (currently) permitted), we were able to show how AI-based image processing helps to analyse natural materials more efficiently, consistently and economically.

What can AI do when analysing natural materials?

✔️ Automated surface analysis: a trained AI model reliably recognises cracks, inclusions or textural differences - around the clock and without fatigue.

✔️ Classification by degree of processing or quality: Image data can be analysed using machine learning to assign materials to defined classes - quickly and objectively.

✔️ Digital traceability: AI-supported capturing provides structured, usable data - for greater transparency and traceability in the process.

Why is this relevant?

Because many manual inspection processes are time-consuming, subjective and error-prone. Artificial intelligence helps to standardise these steps - without losing the character of the material.

Whether in the construction industry, in the natural stone trade or in wood processing: those who invest in automated quality control now not only gain efficiency - but also a clear competitive advantage.

👉 Interested in specific fields of application? Write to us for a dialogue.

See you in Paris at the "Viva Technology"!

In June, the time has come: We'll be live at Viva Technology - Europe's leading meeting place for innovation and tech solutions! 🚀

You can meet us in Paris from 12 to 14 June. 👋 Right in the centre of the action, where start-ups, industry leaders and tech enthusiasts from all over the world gather.

Want to experience innovation up close? Experience networking at the highest level? Then visit us at the trade fair - we look forward to meeting you!

👉 You can find information about Viva Technology here: vivatechnology.com

Live demos from us on 12 & 14 June!

Please let us know your preferred date for a joint discussion. connect@denkweit.de