SPDX-License-Identifier: Apache-2.0
Copyright (c) 2021 Intel Corporation

Reference Implementations

Intel created several example solutions to serve as reference implementations (RIs) for the Intel® Smart Edge infrastructure. These RIs address identified use cases for an edge cloud infrastructure, in different industry segments. Application developers in ISV or end-user organizations can install and study these RIs, and use them as a base for their own applications.

A set of RIs have been created and hosted in the Intel® Developer Catalog. To access these RIs, you will need to create an Intel Developer Catalog account and then search the catalog for “Intel® Smart Edge Open”.

The current Reference Implementations are:

• Wireless Network-Ready Intelligent Traffic Management: this RI is designed to detect and track vehicles and pedestrians. It provides the intelligence required to estimate a safety metric for an intersection. The goal is to use the collected intelligence to adjust traffic lights and optimize traffic flow at an intersection.

• Intelligent Connection Management xApp: this RI uses a deep reinforcement learning (DRL) algorithm with a graph neural network (GNN) model to implement the automatic handover of traffic between cells in a 5G wireless network. The goal is to improve connection quality and reduce latency.

• Wireless Network Ready PCB Defect Detection: this factory-floor RI detects two types of PCB defects during a manufacturing process – missing components and solder-bridge short circuits. The goal is to catch defects early to cut costs and improve product quality.

• Smart VR - Live Streaming of Immersive Media: this RI ingests video data from multiple streams and uses the power of the edge platform to construct a 360-degree view and provide an interactive experience based on Field of View (FoV) request.

• Telehealth Remote Monitoring: this RI leverages the Intel® Collaboration Suite for WebRTC to set up and manage sessions between users that could include clinicians, patients, and caregivers. A variety of end-point devices like cameras, smartphones, and laptops are accommodated.

• Network Optimization and AI Inferencing Management for Telepathology Reference Implementation: this RI enables digital pathology through lab analysis automation. It showcases how an optimized cloud-native software architecture can simplify and automate networking challenges and optimize AI model deployment and management for digital pathology within a hospital system.

All RIs have been tested to run on of the Intel® Smart Edge Developer Experience Kit, and a few of them have also been tested to run on other Experience Kits (EKs) as shown in the table below: