Enabling Machines to See with Efficient Embedded Vision Processors
The embedding of vision into SoCs, giving products the ability to recognize objects and gestures and to visually track things, will change our world. These vision capabilities are being driven by the availability of high-performance processors, improvements in vision algorithms and advances in process technology. The challenge to implementing embedded vision in these applications is to provide the processing capability at a power and cost that is within the available power budget while maintaining the flexibility to address the diverse and evolving market requirements. This webinar will look at a new vision processor family with advanced vision capabilities that enable powerful and flexible vision solutions for your next-generation SoCs.
Attend this webinar to learn about:
- The use of Neural Networks to increase the accuracy and efficiency of your next vision design
- How Synopsys EV6x Vision processors address next-generation performance and power requirements for vision applications
- How the EV Processors’ architecture enables you to achieve superior performance and power efficiency compared to other available vision processors
- How to simplify vision application software development using open source tools with Synopsys MetaWare compiler
Who should attend:
SoC Hardware design engineers, Vision design engineers, Software programmers, Engineering managers
Mike Thompson, Sr. Product Marketing Manager, ARC and EV Processors
Mike Thompson is responsible for the definition and marketing of the ARC microprocessor products at Synopsys. Mike has more than 30 years of experience in both the design and support of microprocessors, microcontrollers, IP cores, and the development of embedded applications and tools. He has worked previously for Actel, MIPS, ZiLOG, Philips/Signetics, and AMD. He has a BSEE from Northern Illinois University and an MBA from Santa Clara University.
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