Bo Wu, the Technical Marketing Manager of Synopsys' Systems Group, is a name that is hopefully already familiar to many of you. Last September at the Embedded Vision Summit in Boston, Massachusetts, he delivered a presentation on "Optimization and Acceleration for OpenCV-Based Embedded Vision Applications" as well as representing Synopsys in a follow-on panel discussion on "Using Tools, APIs and Design Techniques for Embedded Vision". He also personally demonstrated Synopsys' various technologies and products for embedded vision that same day.

A couple of weeks ago, Bo Wu delivered a webinar entitled "The Synopsys Vision Processor Starter Kit: Implementing Embedded Vision Applications Optimized for Power, Performance and Programmability". The archive of his 60-minute long presentation (including Q&A) will be available on demand until July 16, 2014, and after registering online you can audition it for yourself. Here's the abstract, from the event overview page:

Computer vision algorithms, such as those found in the OpenCV library, are typically both compute-intensive and memory-bandwidth-intensive. When implementing these algorithms on embedded devices, two questions arise: How to achieve real-time performance while staying within the available power budget? How to address the need for programmability? Standard CPUs and GPUs often have to be ruled out for power-efficiency reasons. So Application Specific Processors (ASIPs) become the alternative choice.

This webinar introduces the new Vision Processor Starter Kit from Synopsys, featuring Processor Designer, the industry’s leading ASIP design tool. The Vision Processor Starter Kit gives a head-start for the design of an Embedded Vision ASIP. It features a small RISC core with a C/C++ compiler, a ported OpenCV library, examples on how to build programmable accelerators, the RTL design flow, and the FPGA-based rapid prototyping flow. Using the example of Canny Edge Detection, the webinar demonstrates how the Vision Processor Starter Kit can be used to design an optimized programmable architecture.

What will the audience learn:

  • Why application specific processors (ASIP) are ideally suited for Embedded Vision applications
  • How the Synopsys Vision Processor Starter Kit can jump-start the design of programmable accelerators for OpenCV based computer vision algorithms, optimizing performance and power without compromising programmability
  • The methodology and flow of implementing a programmable accelerator using an example of vision algorithm

Who should attend:

  • Software and hardware engineers who are working on complex real-time embedded vision applications and looking for ways to offload the computation intensive tasks from the MCU
  • Computer Vision architects who need to achieve programmability without compromising on performance and power
  • Processor designers who want to perform architectural analysis quickly with performance, power and area taken into account while not worrying about creating software tools manually

I commend this webinar, from a recently added Embedded Vision Alliance member, to your attention!

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



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