Vision & Sensors

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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.

“What’s trending?” is a phrase that has become ubiquitous in our social and business consciousness. A trend is a prevailing tendency that might (or might not) have long-term implications. 

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

In a lean manufacturing process, a poka-yoke method is employed to eliminate product defects by preventing, correcting, or drawing attention to human errors in real time. Industrial engineer Shigeo Shingo first applied the term poka-yoke (“mistake-proofing” in Japanese) to the Toyota Production System.