本文介绍了一种工业零件（自动装配线）的零件识别和质量控制方法。其基本思想是，视觉系统有效地利用其拥有的关于各种工业对象的知识。这为零件识别和检查问题带来了更快的解决方案。因此，零件识别（通过特征提取）大大简化。PC环境使其价格低廉且灵活。

THIS PAPER INTRODUCES A METHODOLOGY FOR PART IDENTIFICATION AND QUALITY CONTROL OF INDUSTRIAL PARTS (IN AUTOMATED ASSEMBLY LINES). THE BASIC IDEA IS THAT A VISION SYSTEM EFFECTIVELY UTILIZES THE KNOWLEDGE IT POSSESSES ABOUT THE VARIOUS INDUSTRIAL OBJECTS. THIS BRINGS ABOUT A FASTER SOLUTION TO THE PART IDENTIFICATION AND INSPECTION PROBLEM. THUS PART IDENTIFICATION (THROUGH FEATURE EXTRACTION) IS CONSIDERABLY SIMPLIFIED. A PC ENVIRONMENT MAKES IT INEXPENSIVE AND FLEXIBLE.