Edge Insights for Industrial Get Started Guide

Intel's Edge Insights for Industrial is a comprehensive platform designed to integrate video and time-series data analytics on edge compute nodes. It empowers industrial and manufacturing sectors by facilitating efficient data collection, storage, and advanced analytics across various hardware nodes on the factory floor.

This solution accelerates the development and deployment of edge AI applications, enabling real-time insights and control. Key components include robust Video Analytics, Time-Series Analytics, a Training and Learning Suite (TLS) for model development, and Device Manageability features for over-the-air updates.

What This Guide Covers:

Installation procedures for Edge Insights for Industrial.
Configuration of core modules and services.
Step-by-step tutorials for various industrial use cases, such as defect detection, text recognition, and surface analysis.
Introduction to the Edge Software Command Line Interface (CLI) for package management.

For a detailed overview of the platform's capabilities and modules, please refer to the Open Edge Insights for Industrial user guide.

	Edge Insights for Industrial: Get Started Guide 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.
	Intel Edge Insights for Vision: Get Started Guide 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.
	Edge Insights for Fleet: Developer Guide and Installation 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.
	Edge Insights for Autonomous Mobile Robots (EI for AMR) Get Started Guide A comprehensive guide to setting up and orchestrating Autonomous Mobile Robots (AMRs) using Intel's Edge Insights (EI) for AMR, Intel® Smart Edge Open, and ThingsBoard*. This document provides step-by-step instructions for installation, configuration, and deployment.
	Intelligent Video Analytics on Intel Architecture - Intel AI Devcon 2018 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.
	Intel Performance Optimizations for Deep Learning 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.
	Edge Insights for Autonomous Mobile Robots (EI for AMR) Robot Orchestration Get Started Guide 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.
	Intel® FPGA AI Suite IP Reference Manual: Architecture, Configuration, and Performance Comprehensive reference manual detailing the Intel® FPGA AI Suite IP for accelerating AI and machine learning workloads on Intel FPGAs. Covers architecture, supported models (OpenVINO, MobileNet, ResNet, YOLO), IP generation, AOT splitter, and performance tuning for Intel Arria 10 and Agilex devices.

What This Guide Covers:

Related Documents