| Cart Total:
Menu
The Download: An Up-Close Look
  • Manufacturing, Quality

The Download: An Up-Close Look

Smart technologies that automate visual inspection can overcome human limitations

Publication:
Quality Progress
Date:
March 2023
Issue:
Volume 56 Issue 3
Pages:
pp. 43-45
Author(s):
Tarantino, Anthony G.
Organization(s):
Santa Clara University, Santa Clara, CA

Abstract

Automated visual inspection using deep learning has proven that it can overcome the limitations of human inspection and do so at lower costs and faster times than traditional manual methods. Examples of successful applications can be found in virtually every industry and in all stages of manufacturing and distribution.

ALREADY A MEMBER?    REGISTER
You may also be interested in: