The official definition of “machine vision” encompasses all industrial and nonindustrial applications in which a combination of hardware and software provide operational guidance to devices in the execution of their functions based on the capture and processing of images. In short, machine vision helps companies manufacture quality goods, repeatably.

Garbage in, garbage out. It’s a term born in the early days of the computer and computer programming. The phrase, and its popular acronym, GIGO, are said to have been taken from the business strategies of LIFO and FIFO—last in, first out and first in, first out—as it pertains to inventory management.

Hitachi High-Tech Analytical Science Americas, Inc. announces that its calibration laboratory received the acclaimed American Association for Laboratory Accreditation (A2LA) for their Optical Emission Spectroscopy (OES) product line.

All machine vision systems rely on the production of an image of sufficient quality to allow the required measurements to be made.

EO invests in Germany providing local optical manufacturing capabilities to European customers.

The ability to quickly perform repeatable, high accuracy measurements is critical to maximize the performance of many machine vision systems.

The importance of lenses in machine vision applications cannot be overstated. At Edmund Optics, producer of optics, imaging, and photonics technology, the lenses offered are optical components that either focus or diverge light and may consist of single or multiple elements. 

Precision lenses do an excellent job conveying contrast and color from object to image, but they can do a poor job of transferring accurate dimensions, especially if they have small focal lengths.

Winning medical device eases diabetes testing in children.