Kiriti Nagesh Gowda, Staff Engineer at AMD, presents the “Simplifying Portable Computer Vision with OpenVX 2.0” tutorial at the May 2025 Embedded Vision Summit.
The Khronos OpenVX API offers a set of optimized primitives for low-level image processing, computer vision and neural network operators. It provides a simple method for writing optimized code that is portable across multiple hardware vendors and processors, including CPUs, GPUs and special-function hardware.
In this talk, Gowda introduces OpenVX 2.0, the latest version of the standard, and explains its key improvements. Using real-world use cases from Bosch, Texas Instruments and others, he shows how OpenVX is used to build, verify and coordinate computer vision and neural network graph executions, enabling software developers to spend more time on algorithmic innovations without worrying about the performance and portability of their applications.
See here for a PDF of the slides.
