At Photonics West, Tom from MV Pro spoke with Eric Pretz at the Emergent Vision Technologies booth to explore how high-speed imaging is reshaping machine vision and accelerating real-world AI inspection.
Eric described Emergent’s role as a performance-driven provider of GigE camera systems for innovators, noting the company’s early leadership in 10, 25, and 100 GigE platforms. However, he stressed that the industry conversation has shifted beyond camera specifications toward complete system performance. “We really operate where customers need peak performance from an overall camera system,” Eric explained, highlighting the importance of integrating cameras, software, networking, and processing into cohesive solutions.
When asked about the limits of high-speed vision, Eric pointed to system architecture rather than sensors as the primary challenge. While sensor and compute technologies continue advancing, many users struggle with aligning hardware and software stacks. This has increased the importance of integration with GPU-accelerated platforms and AI infrastructure, enabling real-time analytics alongside image capture.
The discussion also highlighted strong application momentum. Eric identified shortwave infrared (SWIR) imaging as a key driver in semiconductor inspection, allowing manufacturers to visualize subsurface wafer defects invisible in visible light. He also emphasized the growing impact of AI at the edge, where ultra-high-resolution cameras paired with high-bandwidth interfaces enable inspection systems exceeding 100 megapixels at high frame rates.
Tom’s final question addressed scalability, an area where Eric noted the technology has already proven itself. Large deployments with hundreds of synchronized cameras are operational today, supported by standards-based networking approaches such as GigE Vision and RDMA. Eric framed this as evidence that the industry is moving from experimental performance demonstrations toward validated, production-ready machine vision infrastructure.
3 Key Highlights
1. The Shift to Complete Vision Systems
Eric emphasized that machine vision success now depends on system-level integration across cameras, software, networking, and processing — not individual component performance.
2. New Inspection Capabilities Through Spectrum and AI
SWIR imaging and AI at the edge are unlocking deeper inspection and real-time analysis, expanding machine vision into more complex manufacturing environments.
3. Proven Scalability of High-Speed Vision
Large-scale camera arrays and standards-based networking demonstrate that high-bandwidth machine vision is ready for widespread deployment, enabling next-generation industrial automation.
learn more at https://emergentvisiontec.com/
