Open standards play an important role in enabling interoperability for faster, easier deployment of vision-based systems. With advances in machine learning, the number of accelerators, processors, libraries and compilers in the market is rapidly increasing. Proprietary APIs and formats create a complex industry landscape that can hinder overall market growth.
The Khronos Group’s open standards for accelerating parallel programming play a major role in deploying inferencing and embedded vision applications and include SYCL, OpenVX, NNEF, Vulkan, SPIR, and OpenCL.
Neil will provide an up-to-the-minute overview and update on the Khronos embedded vision ecosystem, highlighting the capabilities and benefits of each API, giving attendees insight into which standards may be relevant to their own embedded vision projects and discussing the future directions of these key industry initiatives.
