Identification of splinters, bark fibre, nests, cement fragments
Building materials industry
As the wood wool panel moves along the production line, a line scan camera transfers the image to the controller. Two sensors located above the production line register the beginning and end of each panel. While the second wood wool panel is being checked, the controller processes the previously captured image in order to achieve maximum production speed.
In order to be able to reliably classify errors, and to ensure that only actual defects are captured, the image processing algorithms identify defects in two steps: the first step consists of detecting defective parts, while the second step is used to exclude false rejects. Various grey scales in the imaging reliably detect all irregularities, making reliable analysis a matter of course.
Leading companies in the construction materials industry use this kind of error identification.