表面実装部品のリード形状データの自動生成

抄録

In surface mount technology, many kinds of image processing methods are used in inspection and positioning for mounting surface mount devices (SMDs) onto PCBs (Printed-Circuit Boards). Currently, such methods require part shape data to detect and inspect the position of parts. These shape data are generated by manual operations which require costs (e.g. operators, times). Automation of the shape data generation has been performed by hierarchical classification method proposed in previous research. Our research focuses on SMDs of complex shape, which was not supported in previous research. We proposed a lead detection method combining frequency analysis and AdaBoost to generate more accurate part shape data. We evaluated our proposed method with 70 parts that were not supported by previous research. The result of evaluation showed that the proposed method reduced false detection rate of leads detection from 24.5[%] to 2.4[%].