Offloading visual processing to a hardware accelerator has many advantages for embedded vision systems. Decoupling hardware and software removes barriers to innovation and shortens time to market. Using hardware acceleration, embedded vision system manufacturers can integrate and deploy new components more easily, provide cross-generation reusability and facilitate field upgradability. Embedded system hardware acceleration is made possible by open standards for acceleration and interfacing, which reduce costs and lower the barriers to advanced techniques such as inferencing and vision acceleration. In this session, Neil Trevett, Khronos Group President, will explain how hardware accelerators can help offload vision processing and inferencing to speed development. Neil will give an overview of the Khronos Group family of open standards for programming and deploying accelerated inferencing and embedded vision and share the latest progress from the Kamaros API Working Group, which is dedicated to the development of an open-standard camera system API.