More reliable than the human eye

Surface inspection of metal components

Together with Xactools GmbH, we have developed a solution for a manufacturer of metal components to identify even the smallest defects. With the use of DENKnet, the inspection of metal surfaces can now be carried out reliably and without errors 24/7.

Good cooperation

Xactools GmbH

Xactools is a Swabian medium-sized company that offers automation solutions for feeding, measuring and palletizing processes.

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DENKnet fault detection on metal surface_4
Metal surface inspection

The Challenges

The different types of defects and lighting conditions

For this application, Xactools integrated a high-resolution line scan camera into the manufacturer's production process, which continuously captured images of the metal surfaces.

With our DENK VISION AI Hub, the AI was trained with the individual images by the customer (as an expert) himself. Only the customer himself can most reliably annotate all errors relevant to his company.

Insights

Images from the production

DENKnet fault detection on metal surface_1Defect marking by the AI
DENKnet fault detection on metal surface_2Defect marking by the AI

The way to this reliable AI

Stable solutions with customised AI - training in the DENK VISION AI Hub

DENKWEIT Instance Segmentation

The customer chose “Instance Segmentation” as the network. In contrast to “object recognition”, the customer not only receives information about the location of a defect, but can also have the area content displayed, for example. This information could be important in downstream sorting or classification processes.

AI Ensures Instant Scratch Detection

The AI's consistent learning process makes it possible to produce almost perfectly reliable results for all metal components and environmental conditions. Scratches are reported to the customer within milliseconds.

Added value with DENKnet

The early and reliable detection of errors has increased the efficiency of the production process itself and reduced reject rates.

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