For 2 Feb - 4 Feb 2027 / Moscone West, San Francisco:

Artificial Intelligence is transforming computer vision, yet many deployed systems still fail before the first inference is executed.
Across hundreds of machine vision projects, the same pattern repeatedly appears: teams focus on algorithms while the real issues originate in image acquisition. Illumination, optics, sensor physics, synchronization, dynamic range, thermal effects and image transport often have a greater impact on system performance than model selection.
For 2 Feb - 4 Feb 2027:
This presentation explores the hidden physics behind successful Physical AI systems. Through practical examples from industrial automation, robotics, logistics and transportation, attendees will learn why many vision failures are actually lighting problems, timing problems, sensor limitations or bandwidth bottlenecks.