We describe how to use Intel® System Studio 2015 to build the OpenCV* 3.0-based embedded application on Intel platforms. In this paper, we have considered a sample code that is part of OpenCV, how to use different components of Intel® System Studio to build OpenCV sample code.
This paper provides guidance from the dictionary to appropriately define and discern the terms object detection, object recognition, and object tracking. We then explore some of the algorithms involved with each process to underpin these definitions.
This article provides guidance for transitioning from the NCSDK to the Intel® Distribution of OpenVINO™ toolkit.
This document pertains to the OpenVINO™ toolkit and neural compute devices based on Intel® Movidius™ Myriad™ X.
This article will set up your Raspberry Pi* 4 Model B with Raspbian 10 and the tools needed to use the Intel® Neural Compute Stick 2
Digital displays and signs are all around you. You may have seen them cropping up at shopping centers and doctors’ offices. From video walls, to AR fitting mirrors, to ordering menus, digital signs are pervasive and are becoming a part of everyday shopping experience.
This paper shows how to use the OpenVINO™ toolkit library in an Unreal* project that allows developers to extend and customize this architecture.
1. Robots and ASTRO