Online Quality Inspection of Cutting Knives in a Wood Chipper - Naqvi, Rizwan Ali;Thörnberg, Benny
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Machine Vision (MV) is a broad field that is growing very rapidly and being used in every automation control system. Machine Vision is the analysis of images/pictures to extract data of interest for controlling a process or activity. This work focused on measuring the quality of the cutting knives that are moving with the speed of 45 m/s in a real time wood chipper. On the basis of that quality measurement it is decided that knives in a wood chipper should be replaced or not. While measuring the quality of knives the effect of blurring effect due to very fast motion of knives is also…mehr

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Produktbeschreibung
Machine Vision (MV) is a broad field that is growing very rapidly and being used in every automation control system. Machine Vision is the analysis of images/pictures to extract data of interest for controlling a process or activity. This work focused on measuring the quality of the cutting knives that are moving with the speed of 45 m/s in a real time wood chipper. On the basis of that quality measurement it is decided that knives in a wood chipper should be replaced or not. While measuring the quality of knives the effect of blurring effect due to very fast motion of knives is also investigated for different exposure times. Different types of illumination sources are discussed and described that which illumination source is suitable for this type of challenging environment and application.
Autorenporträt
Rizwan Ali Naqvi received BS Computer Engineering from Comsats Institute of Technology, Pakistan & MS Electrical Engineering from Karlstad University, Sweden. Currently he is working as a Lecturer in Superior University, Lahore. His areas of interest are Signal and Image Processing.