THIS PAPER PRESENTS A SYSTEMATIC METHODOLOGY BASED ON TAGUCHI METHODS TO DETERMINE AND OPTIMIZE A MACHINE VISION SYSTEM'S TWO-DIMENSIONAL (2-D) AND THREE-DIMENSIONAL (3-D) MEASUREMENT CAPABILITIES (I.E., ACCURACY AND REPEATABILITY). THE LOW-COST MACHINE VISION SYSTEM CONSISTS OF OFF-THE-SHELF COMPONENTS, AND THE TOTAL HARDWARE COST IS ABOUT $5,000 EXCLUDING AN IBM COMPUTER. SEVEN FACTORS ARE STUDIED. BECAUSE THIS TAGUCHI METHODS-BASED METHODOLOGY IS SIMPLE AND EFFECTIVE, IT IS RECOMMENDED FOR DETERMINING AND OPTIMIZING A MACHINE VISION SYSTEM'S CAPABILITY.
| Number of Pages : | 13 |
| Published : | 06/01/1990 |
