Effect of Blurring on Real Time Quality Inspection of Knives in a Wood Chipper

4 Abstract: Machine vision is a broad field that is growing very rapidly and being used in every automation control system. The work presented in this paper is 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. Meanwhile, the effects of blurring for different exposure time are investigated on real time quality inspection of knives in a wood chipper. On the basis of that quality measurement it is decided that knives in a wood chipper should be replaced or not. The quality of cutting knives is investigated by comparing the obtained values with predicted values in the least square sense. Different image processing algorithms and filtering techniques are applied to find the region of interest i.e. edges of knives from the image. Decision is made on the basis of accumulated Mean Square Error (MSE).