Smart 2D Vision. Evolved for the Edge.
Date: September 23, 2026 (Wednesday)
Time: 7:00 a.m. PT / 10:00 a.m. ET / 4:00 p.m. CET / 7:30 p.m. IST / 10:00 p.m. CST (China)
Presenters: Keith Magic, Area Sales Manager (USA)
Who should attend: Automation engineers, machine vision integrators, plant/process engineers, and anyone specifying or upgrading industrial vision systems
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Gocator® 2D Smart Camera
Beyond the Camera: The Evolution of
Smart Industrial 2D Vision Webinar
SUMMARY
Industrial 2D vision has evolved beyond image acquisition. Modern systems must acquire, inspect, decide, communicate, save, and display—while growing use of AI adds new requirements for GPU acceleration, memory, model storage, and data handling.
PC-based vision delivers processing power and flexibility, but requires external computing, software, networking, and integration. Smart cameras moved processing to the edge, reducing this infrastructure—but traditionally introduced tradeoffs in compute, AI, memory, customization, and software capability.
Gocator® 2D brings these requirements together at the edge—combining industrial imaging, NVIDIA® Jetson™ Orin NX compute, GPU-accelerated AI, rules-based inspection, bring-your-own AI model flexibility, extensibility, industrial connectivity, and onboard GoPxL® in one integrated smart vision platform.
WHAT YOU WILL EXPLORE
Changing Inspection Requirements
Why industrial vision is expanding beyond image acquisition toward complete inspection workflows—and how AI is changing the compute requirements behind them.
PC Vision vs. Smart Edge Vision
Compare the hardware and software architecture behind PC-based machine vision and integrated smart cameras, including processing, software, networking, and system integration.
The Advantages—and Limits—of Traditional Smart Cameras
Understand the benefits of compact, off-the-shelf edge vision and the traditional tradeoffs around processing, memory, AI, customization, and software capability.
The Next Evolution of the Smart 2D Camera
See how modern edge compute, AI and rules-based vision, extensibility, industrial communications, visualization, and a unified software environment advance the smart 2D camera architecture.

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