In the CAMWear 2.0 project, a research team from the Fraunhofer IPT, together with project partners, has now developed a system that precisely records and evaluates the wear condition of cutting tools almost in real time during the milling process. To this end, the researchers integrated a microscope into the milling machine that automatically captures images of the milling tool during machining, between the individual machining steps. To protect the sensitive microscope in the harsh environment of the machine tool, the researchers designed a resistant housing with a sealing air function that keeps cooling lubricant droplets away from the camera.
Real-time classification of multimodal data
EVK’s Alpha G100 CS real-time image processing system combines the classification of multimodal data, such as hyperspectral, RGB and conductivity data, with advanced functions for sorting applications.