One of our first installments in Voices of the Industry is this profile on one of our editorial advisory members, Dr. Daniel Lau. His journey from signal processing classes to leading innovative projects in 3D imaging and machine vision demonstrates his commitment to advancing imaging technology and applying it across diverse fields.

Another Voices of the Industry feature includes this article from another one of our editorial advisory members, David L. Dechow, who explores how traditional machine learning techniques can enhance industrial machine vision systems, emphasizing practical implementation, algorithm selection, and workflow considerations for improved inspection performance.

Read another Voices of the Industry feature, this one from Dr. Michael John Fanous, who shares his perspective on how a more daring imaging architecture can trade stage motion, exposure, photons, and computation—but only inside a precise, validated operating envelope.

As machine vision applications generate more data, engineers must deliver real-time results without overwhelming system resources. Join this webinar to learn how DMA, RoCEv2, and next-generation connectivity technologies can help reduce CPU bottlenecks, accelerate data movement, and enable scalable imaging systems operating at 10 GigE, 25 GigE, and beyond.

This white paper is for site members only. Not a member yet? Sign up today. It's free! Then discover how UV, NIR and SWIR illumination can reveal hidden defects, material differences and features that visible light cannot reliably detect in industrial inspection.

Explore how transport speed affects brightness in TDI line-scan imaging, why high-speed strobe control matters, and what is required for reliable synchronization, illustrated by a practical line-strobe controller.