Shaping the future of Next Generation Systems
From complexity to clarity
For most humans, sight is intuitive. For machines, sight is an incredibly complex task. Embedded vision technology can help machines “see” by quickly extracting intelligence from images in real time and under various lighting conditions. In the automotive space, this can enable autonomous cars to avoid that pedestrian in the crosswalk or roadside collision faster and more efficiently than ever before.
From autonomous driving to surgical robots and automated factories, the latest innovations depend on sophisticated embedded vision solutions that turn daunting new technological complexity into clarity.
Keeping the future for embedded vision in sight
While image processing has traditionally been all a software play, SoCs with programmable logic enable an All Programmable environment. Software bottlenecks can be accelerated in high-performance programmable logic while retaining the reconfigurability required for rapid upgrade. All Programmable solutions can be easily customized to whatever embedded vision use you might need.
Providing lower power, higher efficiency machines the ability to see, sense and immediately respond to the world creates unique opportunities for system differentiation. However, this also creates several challenges in how designers create next generation architectures and bring them to life, including: high performance demands, a complex programming environment and shortened design cycles.
MiniZed Zynq development board
MiniZed represents a low cost entry point to the scalable Xilinx Zynq-7000 All Programmable SoC development platform.BUY now
MicroZed Embedded Vision Carrier Card Kit
The MicroZed™ Embedded Vision Carrier Card Kit builds on the MicroZed SOM by providing a video specific carrier card, and includes hardware, software and IP components necessary for the development of custom video applications.buy now
Overcoming your embedded vision challenges
EBV Elektronik and Xilinx are dedicated to staying one step ahead and helping you with your next-generation embedded vision design. Our design kits and reference designs can help any designer—whether your background is in hardware or software—dive in to embedded vision. These capabilities help you to:
- Reduce complexity between software and hardware. FPGA brings development closer to the complexity level of processor-based designs. With an easier programming environment, you can work on the software and then optimize hardware around a solution. Take for example, the Xilinx reVISION stack, which includes a broad range of development resources for platform, algorithm and application development.
- Adapt to a variety of project volumes. Whether a small or large run order, EBV Elektronik and Xilinx can work together to support sizes across the spectrum that align to your application needs.
- Make flexible, scalable products. With kits and tools that integrate key features, our goal is to help simplify your design work and shorten the learning curve. From support on sensors, wireless connectivity and memory to CMOS image sensor cameras, cloud connectors as well as analog and RF signal chains, we’ll help you integrate across platforms for the best solutions.
All programmable revolutionizes embedded vision
Read our expert view of embedded vision – and how we expect it to change in the coming years.Read More
Embedded vision is everywhere! See for yourself
Embedded vision technology will soon touch nearly every aspect of our daily lives –- from automatic vacuum cleaners in our homes to augmented-reality applications in our mobile phones and even in the self-driving cars of the future.Learn More
Embedded vision by the numbers
Check out an infographic that breaks down embedded vision complexity in one of its hottest markets: automotive and autonomous driving.see infographic
Video: 5 Myths about developing embedded vision
Are embedded vision solutions complex? The answer to that and other questions can be found in our video "5 myths BUSTED about developing embedded vision solutions."watch now