Readers of this column will be familiar with the subject of measurement uncertainty since I comment on it from time to time, as I did last month. Those readers that have not been that interested in it will certainly run across it on reports from their calibration sources.

When it comes to building cost-effective 3D vision systems, is it better to use a component-based (i.e., camera, laser, lens, brackets, calibration targets) or all-in-one (i.e., smart) approach? 

Whether an imaging system measures dimensions, verifies colors, or determines shape, the purpose of machine vision is to distinguish an object from its background. 

The demand for machine vision has grown exponentially as manufacturing facilities turn to automated quality control solutions to remain competitive in fast-paced markets with decreasing tolerance for error. In fact, the rise of machine vision is directly correlated with the increase in automation and robotic use in factories.

In this article we outline the procedure for quantifying device repeatability of a 3D 15μm stereo imaging camera.

Phillips Precision, Inc. continues to improve manufacturing processes worldwide with its latest M5 Edge Finder™. Like the Pitbull® Clamp, Inspection Arsenal®, and Laser Arsenal® work holding solutions, inventor and owner Steve Phillips has the gift of designing simple, effective, low-cost and industry changing products.

Variability in force test results due to incorrect selection of grips and fixtures can be minimized by simply using the proper grips and fixtures. There are many universal solutions available, but will the universal grip or fixture hold up to the test?

If you’re interested in 3D scanning, you’re in good company. From automotive to medical, more and more companies are adopting 3D scanning technology.