In the thesis we consider a very important field of cutting. In cutting processes it comes to tool wear. To achieve high quality finished products and to reduce production costs, tool wear must be monitored. In the thesis is a brief overview of the causes and consequences of wearing tools. By detecting tool wear we can achieve high quality products. To determine the wear of the tool with classical determination, it is necessary to remove the tool, thus losing the position tolerances and the time when the machine does not operate. Therefore, we decided to develop a prototype system for real-time determination of the wear of the cutting tool with the camera on the machine. The prototype system works on the principle of machine vision, the camera captures the picture, then an image analysis is performed using Labview software. Image analysis gives us the tool wear values. The system was tested in the laboratory of LABOD and found that the measurements of the system by comparing classical measurement are the same with a smaller deviation so we have found that the system works reliably.
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