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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