Edge Insights for Industrial is a set of pre-integrated ingredients designed to accelerate the development and deployment of solutions for the industrial sector. The package is meant to be deployed on the device closest to the data generation, such as the tool or machine assembling a product. This enables the ingestion of video and time-series data, storage of data, performing analytics, closing the loop by transmitting a control message, and publishing the results.
Edge Insights for Industrial is based on Open Edge Insights for Industrial and offers additional components like reference implementation for various use cases that are accessible via custom download.
The Open Edge Insights for Industrial user guide details the capabilities of the Open Edge Insights for Industrial modules and serves as a reference for developers. For more information, see Open Edge Insights for Industrial User Guide
This section provides an overview of the modules and services featured with Edge Insights for Industrial.
Modules and Services
For an overview of the EII modules, see below.
Video Ingestion and Analytics
Edge Insights for Industrial supports ingestion from:
Edge Insights for Industrial uses GStreamer* and OpenCV to provide a preconfigured ingestion pipeline that you can modify for different camera types and preprocessing algorithms. The Video Ingestion container publishes video data, consisting of metadata and frames, to the Edge Insights for Industrial Data Bus. You can create multiple instances of the Video Ingestion container to ingest video from multiple input sources.
Watch a video on Video Ingestion on the Edge Insights for Industrial Architecture & Technical Training page.
Classifier algorithms are executed in the Video Analytics container. The container uses the Edge Insights for Industrial Data Bus to subscribe to the input stream published by the Video Ingestion container. The algorithms included in the container are optimized for Intel hardware using the Intel® Distribution of OpenVINO™ toolkit (OpenVINO™ and the Intel® Math Kernel Library. You can create multiple instances of the Video Analytics container to classify multiple video input sources.
The Intel® Distribution of OpenVINO™ toolkit is a software development kit (SDK) for deploying deep learning computer vision inference applications. It optimizes inferencing on your edge IoT device for Intel® architecture.
The Intel® Math Kernel Library is a library of highly-optimized, threaded, and vectorized math routines designed to maximize performance on Intel® processors.
Watch a video on Video Analytics on the Edge Insights for Industrial Architecture & Technical Training page.
Edge Video Analytics Microservice
The Edge Video Analytics Microservice (EVAM) wraps the Intel Video Analytics Serving library to provide an EII visual ingestion and analytics module utilizing the features and functionality of the library. For more details, refer to the Edge Video Analytics Microservice documentation.
Web Deployment Tool
Web Deployment Tool (WDT) provides a graphical interface to set up and complete the deployment process for the Open Edge Insights for Industrial services. For more details, refer to the Web Deployment Tool documentation.
The image store provides storage and retrieval of images as binary blobs. You can store the images persistently by using: In persistent storage with MinIO*, an open source, distributed, object storage server.
Watch a video on Image Store on the Edge Insights for Industrial Architecture & Technical Training page.
Time Series Analytics
Edge Insights for Industrial leverages Telegraf* for time-series data ingestion into InfluxDB*. Kapacitor* reads data from InfluxDB*, generates alerts, and takes the appropriate action.
Telegraf* is an agent for collecting, processing, aggregating and writing performance metrics.
InfluxDB* is a distributed datastore for metrics, events, and real-time analytics.
Kapacitor* is a data processing engine that handles both stream and batch data from InfluxDB, acting on this data in real time via its programming language, TICKscript.
Watch a video on Time Series Data on the Edge Insights for Industrial Architecture & Technical Training page.
Security and Configuration
The Data Security Framework enables security through a two-stage process involving provisioning and execution on Edge Compute Node. Its primary objective is to prevent unauthorized access of generated data from within the system or via external network interfaces.
Edge Insights for Industrial uses etcd* for configuration management. etcd* is a consistent, distributed key-value store that provides a reliable way to store data that needs to be accessed by a distributed system or cluster of machines.
Edge Insights for Industrial uses Azure* and ThingsBoard* to support over-the-air updates and to enable cloud-to-edge manageability of application services.
For details, see Manageability section.
Docker* is a container framework widely used in enterprise environments. It allows applications and their dependencies to be packaged together and run as a self-contained unit.
Edge Insights for Industrial Data Bus
Edge Insights for Industrial Data Bus is an abstraction over ZeroMQ*, which is used for all inter-container communication.
ZeroMQ* is a brokerless message bus that transfers data from the source directly to the destination. ZeroMQ* is used in TCP and IPC mode with pub-sub and request-response patterns.