英特尔® 边缘软件中心

Learn to combine data from multiple sensors to verify objects in a retail self-checkout example.

Use video analytics solutions based on Intel® Distribution of OpenVINO™ toolkit models to support retail settings for pandemic scenarios, helping to reduce public health risks.

Create an Artificial Intelligence (AI) based alert that notifies staff if a medical patient is at risk of falling. Use IP cameras to detect and monitor patient positions and track fall potential.

Use deep learning-based computer vision algorithms optimized by the Intel® Distribution of OpenVINO™ toolkit to detect and recognize characters of printed text lines in an industrial scenario.

Use a segmentation model and computer vision algorithms optimized by the Intel® Distribution of OpenVINO™ toolkit to segment defects on a surface, improving quality assurance accuracy.  

Install a web-based application to help securely connect devices to Azure IoT*. You are responsible for payment of all third-party charges, including payment for use of Microsoft Azure* services.

Use an open application reference middleware to accelerate software modernization strategies for Process Control and Process Optimization in the upstream oil and gas industry.

Deploy industrial AI application for product quality checks using OpenNESS platform. Includes support for two types of defect detection.

Consolidate visual intelligence and wireless workloads at traffic intersections. This container is hosted in an Open Network Edge Services Software (OpenNESS) edge node.

Use classification models and computer vision algorithms, optimized by Intel® Distribution of OpenVINO™ toolkit, to identify defects in a textile manufacturing or printing facility.

Create an end-to-end pipeline to detect social distancing, a COVID-19 preventive measure. Apply deep learning models from the Intel® Distribution of OpenVINO™ toolkit.

Predict performance issues with manufacturing equipment. Perform local or cloud analytics on any issues found and predict when failures might arise.