In this episode of Visions: A Machine Vision and Automation Solutions Podcast, VSD Head of Content Sharon Spielman speaks with Dr. Michael Fanous of Fanous Photonics about the concept of a "blur budget" — deliberately allowing and engineering motion blur as a tool rather than an error. They discuss continuous motion imaging approaches like GANSCAN and BlurryScope, balancing stage velocity, exposure, optics, and computation, and why training models on real acquisition conditions is critical.

The conversation highlights research insights, potential industrial impacts, and guidance for teams exploring computational imaging strategies.

In this episode of Visions, Jim Tatum explores GM's BVSeal — an AI-driven, CO₂-based gas imaging system that detects and pinpoints battery pack leaks in real time on the production line. Learn how collaborative robots, edge computing, and specialized cameras combine to reduce scrap, speed decision-making, and improve manufacturing quality.

In this episode of Visions: A Machine Vision and Automation Solutions Podcast, VSD's Sharon Spielman interviews Hantz Fevry, CEO of Geolava, about spatial intelligence — AI that understands and reasons about the physical world in 3D — who explains how world models enable vision systems to perceive, predict, and make smarter decisions across time and sensors.

Fevry discusses key enabling technologies (multimodal imagery, LIDAR, temporal fusion), practical factory-floor applications (co-pilots, predictive maintenance, robots), integration challenges with legacy systems, validation advice, and how leaders should focus on measurable outcomes and quality multimodal data.