How are high-speed machine vision systems keeping pace with the growing demands of AI and automation?

At VISION 2026, Eric Petz, head of marketing at Emergent Vision Technologies, discusses with Vision Systems Design the evolution of high-bandwidth GigE Vision cameras and the infrastructure required to support increasingly data-intensive AI applications.

Petz explains how advances in camera technology, Ethernet networking, GPU-direct processing, and software architecture are helping engineers achieve both high resolution and high frame rates without compromising performance. He also explores how emerging sensor technologies, expanding optics ecosystems, and AI-driven tools are increasing flexibility for machine vision applications.

Topics include:

• High-speed GigE Vision cameras, including 100 GigE and 200 GigE technologies 
• Balancing resolution, frame rate, and data throughput for industrial AI applications 
• The role of Ethernet infrastructure, network interface cards, and GPU-direct processing 
• New imaging technologies, including SWIR, line scan, and specialized sensors  Expanding lens and camera options for machine vision engineers
• How foundation models, synthetic data, and AI are enabling more autonomous manufacturing systems
• Applications including defect detection, bin picking, PCB inspection, and markerless motion capture
• Learn how advances in imaging, AI, and robotics are converging to help manufacturers deploy more intelligent, adaptive, and autonomous vision systems.