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Xilinx’s Cost-Optimized Portfolio for Industrial Cameras

This presentation covers trends in industrial cameras and provides examples of Xilinx's recent solutions such as its Cost-Optimized Portfolio (COP) of MPSoCs, which enable the full range of industrial imaging functions and performances, including custom image processing, AI acceleration, and industrial-grade life cycle, reliability, safety, and security.




Originally presented: September 21, 2021
Duration: 1 hour
Presented by:

Overview

Vision applications across industrial and medical markets are demanding improvements in camera size, speed, intelligence, and power consumption. Additional requirements for industrial markets include safety, security, and extended temperature performance and life cycles. This presentation explores some of the trends driving new processor requirements in industrial cameras. It then provides examples of Xilinx's recent solutions that offer increased performance per watt and unlock intelligence, resolution, and speed for compact form factor cameras that, in the past, would have been limited to 1080p or even 720p resolution and 30 fps. It highlights how Xilinx's Cost-Optimized Portfolio (COP) of MPSoCs can enable the full range of industrial imaging functions and performances, including custom image processing, application-specific support and AI acceleration, and industrial-grade life cycle, reliability, safety, and security. We will review several customer use cases of industrial cameras.

Key Takeaways

  • Learn about recent trends in industrial cameras.
  • Hear about recent solutions from Xilinx, including the new Cost-Optimized Portfolio (COP) products like the Artix UltraScale+ and ZU1.
  • See some use cases of end customer products using Xilinx products.

Speaker

Susan Cheng, Marketing Lead, Industrial Vision, Xilinx

Susan Cheng is the marketing lead for Industrial Vision at Xilinx. She is responsible for driving solutions for the machine vision and video surveillance markets. Cheng has over 15 years of experience in marketing imaging technology products, including sensors, software, and image processing. Prior to joining Xilinx in 2019, her past experience includes working for companies such as Macnica Americas, Aptina, Tessera, and Kodak. She has a BSEE/CS and an MBA from the University of California, Berkeley.