Packaging, electronics, automotive, clinical diagnostics… Smart cameras have made their way into all sorts of industries and applications. Machine vision engineers never get to rest on their laurels because there’s always some new process to improve.
Lenses are a complicated and nuanced component in imaging systems. It is not always straightforward which decisions to make when it comes time to choose a lens and what tradeoffs are made as a direct result of those decisions.
The introduction of the PC and the increasing functionality of integrated circuits created a new market for PC-based single-board computers, frame grabbers, I/O peripherals, graphics, and communications boards—the building blocks of today’s embedded electronics and machine vision systems.
High accuracy machine vision applications are dependent on the production of reproducible, high quality images, whether for inspection or measurement purposes.
A wide range of single-purpose point sensors such as proximity sensors, lasers and photocells have long played a key role in virtually all factory automation systems by detecting the presence of parts or assemblies, performing measurements and identifying colors, among other tasks.
Machining metal has its challenges, but machining glass is another matter—one that Dan Bukaty Jr., president of Precision Glass & Optics (PG&O) is well schooled in.
The Radiant Vision Systems AR/VR lens is an optical component that can be mounted directly to a Radiant ProMetric imaging photometer or colorimeter for measuring the quality of near-eye displays (NEDs) integrated within virtual (VR), mixed (MR), and augmented reality (AR) headsets.
Radiant Automotive Business Leader Matt Scholz will present approaches to improving display design and quality control in “New Measurement Methods to Solve Emerging Display Test Challenges,” scheduled from 3:20-4:00 p.m. on the first day of the conference, March 26.