The availability of high-performance vision processors is making it possible to integrate vision capabilities into SoCs giving them the ability to see and interpret their surroundings. Developing these vision-based chips requires a range of IP and tools that are compliant with the latest embedded vision programming standards, and flexible enough to meet the changing needs of emerging vision applications. This presentation details the architecture of an embedded vision processor implementing convolutional neural networks (CNN) and the open source-based programming environment used to ensure efficient resource utilization of the heterogeneous multicore platform.
Tom Michiels, R&D Manager, Synopsys
Thank you for your interest in the presentations from the event.
Please complete the registration form and click the 'continue >>' button below.