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Machine Learning for metal surfaces


The new Machine Learning Tool by EVT detects scratches on metal surfaces.

EVT told MVPro Magazine that depending on the surface, a simple camera setup with a dome light is sufficient to detect scratches. It is also possible to use the EyeMulti-Inspect setup, which already includes computing unit, camera, lens and lighting and is ready-to-use. The EyeMulti-Inspect is a robust setup for the industry with a housing, which also bears up under rough environments. Therefore the tracing of the component parts can be carried out on a conveyor belt. One only has to mount the sensor over the conveyor belt, connect the incremental encoder and determine the discharge chutes in the software.

EVTWith EyeVision Software, this is completely carried out by the graphical user interface. The Machine Learning Tool can be called up and adjusted with a command in this user interface.

But, the system is not only for solid component parts. The separately controllable, integrated illumination systems allows to illuminate also difficult, non-solid component parts such as rubber parts. The Machine Learning Tool can then detect scratches and cracks and start the analysis.


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