Post-processing software library VkCoreVX™ SC

safetyflownetwork

VkCoreVX™ SC is CoreAVI’s safety critical implementation of OpenVX™1.3, the Khronos’ OpenVX industry standard API that provides a feature set for implementing and deploying neural networks in safety critical environments. VkCoreVX SC is the backbone of CoreAVI’s artificial intelligence and computer vision platform for safe autonomy, providing APIs that enable the safe deployment of convolutional neural networks, supporting vector machines, gaussian filtering, optimal flow, and much more. VkCoreVX SC is built on top of CoreAVI’s safety critical Vulkan SC implementation, providing both graphics and compute capabilities within the same safety critical framework. VkCoreVX SC’s computer vision subset provides algorithms for performing crucial pre-processing and post-processing tasks on the sensory data streams being analyzed. This collection of computer vision algorithms (edge detection, Sobel filters, optical flow, etc.) and neural network inferencing engines provide a true safety certifiable software stack that facilitates powerful computer vision executing on modern GPUs.