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Video available: DENKsession#5 ‘1-Class Classification simply explained’

How does this technology work? Why is it the fastest way?

Using numerous examples, Arvid explains the applications for which the technology is best suited.

▶️ Are the 2 loops connected or not connected?
▶️ Is the baking condition of the bread OK or rather burnt?
▶️ Is lubricant present or not present?

Classification is the fastest way to use AI-based image analysis and is often the basis of many projects. It can be easily adapted as complexity increases.

📹 Missed live DENKession#5? Video can be found on LinkedIn. (English)

A cycle time of seconds is often not enough. Image analyses must be performed within a few milliseconds.

In order to achieve the best performance right from the start, we work with our customers to select the right technology for their application. (Objects do not always have to be ‘localised’. Sometimes the ‘available’ status is sufficient).

If our customers have specific time requirements, we go through various parameters.

✔️ Checking the image resolution in the DENK VISION AI Hub. 
✔️ Training resolution in the DENK VISION AI Hub: optimum resolution is determined automatically.
✔️ Very good performance with low network complexity.

For example, we can enable fast work processes even with large, high-resolution drone images.

Have you not yet automated your processes?  ✏️ connect@denkweit.de 

If you've been asking yourself for a while:

❔ Where can Vision AI be used?
❔ What specific AI applications are there?
❔ Are there any new customer stories from DENKweit?
❔ What technologies does DENKweit have to offer?

Then browse through our restructured website now!

New content, new look. 🙂 DENKnet - die bewährte Bildanalyse-KI