Eliminate Processor Bottlenecks with Tightly Integrated Processing Units for Embedded Vision

As embedded vision processing performance requirements increase and power and area goals remain aggressive, embedded engineers looking for the most optimized performance and power solution for vision are turning toward high-performance embedded vision processors tightly coupled with dedicated neural network engines. This presentation will describe how embedded vision processors, offering a combination of tight integration and scalability, can efficiently support high performance vision applications such as surveillance, autonomous driving and augmented reality.
Gordon Cooper, Product Marketing Manager, Synopsys


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