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The wear of cutter which affects precision and yield of product is one of the important factor. In the past decades, there were many research predict wear by mathematic model. And national organization also define the type and standard of wear. However, due to the processing uncertainty, wear monitoring system is necessary to control wear effectively. So far, the inspective products are not common yet.Those are because of the system inaccuracy and slowly inspective process. Those reasons lead to the high cost of inspection.To develop multipoint cutters inspection system, it should solve “complex geometric shape”, “multiple wear areas”, “spinning position uncertainty” problems. In view of this, this research utilizes machine vision method to develop milling cutter wear inspection system. To match the requirement of practical application, thesis aim to “reconstruct 3D profile of milling cutter”, “quantitative wear level of milling cutter”.
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