When examining a project from a supplier-input-process-output-customer point of view, suppliers of a customer focus on what they do in a process.

The following is a series of articles that longtime Quality columnist and blogger Jim Smith penned in 1979 to motivate employees.

Previously considered bulky, expensive and complex to interpret, machine vision technology has undergone continuous improvements to become an integral part of quality control for industrial or manufacturing production lines.

The Manufacturing Intelligence and enterprise quality software company’s eBook shows quality professionals how to turn manufacturing data into action.

Visualize a typist stationed at every point of data entry in a manufacturing facility. Imagine a data acquisition process that is automated, error free and very cost effective.

Short wave infrared (SWIR) machine vision imaging is a key tool in manufacturing and industrial processes to measure, monitor, control or otherwise manage the reliable and quality-conforming production of goods that do not respond well to standard range machine vision cameras.

Machine vision as a subset of computer science has been around for more than 20 years.

Since its adoption in 2006, the GigE Vision standard has become a favorite of the machine vision industry, growing to more than 30% of units sold annually, according to data compiled by the Automated Imaging Association.

Frame grabbers were developed in the early days of machine vision to provide a connection from analog cameras providing NTSC and PAL output signals to minicomputers requiring digital signals placed directly on data buses for digital memory storage.