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.

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.

Collaboration with customers, aggressive miniaturization, and advanced part qualification have earned this micro stamping component supplier the title of 2013 Quality Plant of Year.

Recently, on tour of the facility with Kyle Goetsch, Mennie’s quality manager, he explained how Mennie Machine has survived, and thrived.