Category: OpenVino

An overview of Intelligent Video Analytics (IVA) on Intel Architecture presented at Intel AI Devcon 2018. Covers IoT context, hardware selection, the OpenVINO™ Toolkit for deep learning inference, performance improvements, and real-world applications.

A quick start guide for the OSKS OpenVINO Starter Kit Set, providing step-by-step instructions for setup, power-on testing, and accessing system software. Includes component identification and troubleshooting tips.

Explore Intel's performance optimizations for deep learning, covering the oneAPI ecosystem, oneDNN library, and TensorFlow optimizations. Learn how to accelerate AI and data analytics pipelines with Intel hardware and software solutions.

This guide provides an overview of the FPGA AI Suite, installation instructions, prerequisites, and a tutorial for running AI inference on FPGAs. It covers topics like setting up the development environment, using the compiler, and deploying AI models.

A comprehensive guide to installing, configuring, and utilizing Intel's Edge Insights for Industrial platform for edge computing, AI, and data analytics in industrial environments.

Intel's Edge Insights for Industrial (EII) is a solution for industrial edge computing, enabling video and time-series data analytics on edge nodes. This guide covers installation, configuration, modules, and cloud integration with Azure and ThingsBoard.

This guide provides comprehensive instructions for installing and using Intel® Edge Insights for Vision, a software suite for edge computer vision and deep learning. It covers setup on Linux, key features, and practical tutorials for object detection and social distancing analysis.

This document outlines Lenovo's reference architecture for deploying and scaling AI inference workloads at the edge using ThinkEdge servers. It details validated server configurations, AI use cases, frameworks, and management software, providing a comprehensive guide for edge AI solutions.

Explore a comprehensive catalog of Intel NUC-powered IoT and edge computing solutions. This document details innovative applications across Retail, Healthcare, Manufacturing, Government, and more, showcasing how Intel NUC enables advanced functionalities for businesses worldwide.

A comprehensive guide to configuring Intel® Smart Edge Open for Edge Insights for Autonomous Mobile Robots (EI for AMR), enabling robot orchestration with the ThingsBoard* reference. Learn installation, setup, and troubleshooting steps for seamless AMR operations.

Learn how to accelerate Artificial Intelligence (AI) inference on Intel FPGAs with the Intel FPGA AI Suite. This guide provides installation instructions, prerequisites, and a quick start tutorial for using the suite with supported hardware like Intel Agilex and Arria 10 FPGAs.

Explore Intel's Edge Insights for Fleet with this developer guide, covering installation, configuration, and deployment for commercial vehicle fleet video analytics and edge computing.