Machine Vision For Process Improvement: A Design Experience

John D. Lackey; Donald M. Gerth; William E. Longenbaker

doi:10.1117/12.943023

19 October 1987 Machine Vision For Process Improvement: A Design Experience

John D. Lackey, Donald M. Gerth, William E. Longenbaker

Proceedings Volume 0856, IECON '87: Industrial Applications of Robotics & Machine Vision; (1987) https://doi.org/10.1117/12.943023
Event: IECON, Cambridge, 1987, Cambridge, MA, United States

Abstract

A machine vision system should 1 designed in the context of providing the tools for process improvement. Obvious benefits of a vision system, such as the reduction in labor costs, and the potential for 100% part inspection are important, but providing process control and improving the manufacturing process can often provide the greatest long-term economical savings. Process improvements can be achieved by the operator adaptively tuning the manufacturing operation, in response to on-line process statistics (provided through a menu-driven user interface) and color graphic images on a video monitor. This paper discusses the design, development, and integration of a specific turnkey vision inspection system into an existing production facility.

Citation Download Citation

John D. Lackey, Donald M. Gerth, and William E. Longenbaker "Machine Vision For Process Improvement: A Design Experience", Proc. SPIE 0856, IECON '87: Industrial Applications of Robotics & Machine Vision, (19 October 1987); https://doi.org/10.1117/12.943023

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available