Automated Generation of Automated Visual Inspection (AVI) Routines for Surface Mounted Assembly Systems

这项研究提出了一种方法的发展，将导致自动生成新的表面安装技术(SMT)组件的检测算法。这种设想的方法将使自动视觉检测(AVI)系统的开发成为可能，该系统可以开发和优化自己的新部件检测算法。根据这一概念，由此产生的开发框架将最大限度地减少人类开发人员的干预，以获得在组件辨别和对环境变量变化的敏感性方面满足最低性能衡量标准的检查算法。这一方法将以矢量辨别法为基础，以确定其基本特征已经形成的有缺陷的部件。这种向量法与分级分类相结合，将被用来获得设想的方法。这种方法不寻求取代人类开发人员；拟议的框架将使他/她从繁琐的任务中解放出来，以便S/他/他可以专注于更复杂的任务，例如开发更复杂的检查任务可能需要的基于形态的特征。如果成功，这项研究将大大缩短开发SMT部件检测算法所需的时间。开发时间的减少将带来更大的制造灵活性，这将转化为将新产品更快地引入现有生产线，并缩短设计交付时间。这种灵活性将有助于给电子行业带来竞争优势，电子行业对美国具有明显的战略重要性。还预计，作为资助活动的直接结果，私营部门将扩大多学科金字塔研究小组的概念。这一概念在招收本科生继续攻读研究生以及少数民族学生参与研究活动方面取得了很好的效果。

This research proposes the development of a methodology that will result in the automated generation of inspection algorithms of new surface mounted Technology (SMT) components. The envisioned methodology will make possible the development of automated visual inspection (AVI) systems that develop and optimize their own inspection algorithms for new components. Under this notion the resulting development framework will minimize the intervention of human developers to obtain inspection algorithms that meet minimal performance measures in terms of component discrimination and sensitivity to changes in environmental variables. This methodology will be based on a vector discrimination approach for the identification of defective components whose basic characteristics have already been developed. This vector approach, in conjunction with a hierarchical classification, will be used to obtain the envisioned methodology. This methodology does not seek the replacement of the human developer; the proposed framework will free him/her from tedious tasks, so that s/he can focus on more complex tasks such as the development of morphology-based features that may be needed for more sophisticated inspection tasks. If successful, this research will significantly shorten the time required to develop inspection algorithms for SMT components. This reduction in development time will result in added manufacturing flexibility that will translate into more rapid introduction of new products into existing manufacturing lines and shorter design lead-times. This flexibility will contribute to give a competitive advantage to the electronics industry, which has a clear strategic importance for the USA. It is also expected that as a direct result of the funded activities the PI expand the concept of multi-disciplinary pyramidal research teams. This concept has given excellent results in terms of recruiting undergraduate students to continue on to graduate school and also in terms of the participation of minority students in research activities.