Intel® Edge Software Hub
Download prevalidated software to learn, develop, and test your solutions for the edge.
Textile Defect Classifier
Use classification models and computer vision algorithms, optimized by Intel® Distribution of OpenVINO™ toolkit, to identify defects in a textile manufacturing or printing facility to improve the accuracy of quality assurance.
Social Distancing Detection for Retail Settings
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 to measure the distance between people based on the input from multiple camera feeds.
Intel® Connected Logistics Platform (Intel® CLP)
Use battery-operated, smart wireless sensor devices at the edge that communicate to mobile or stationary gateways with cloud connectivity and provide real-time visibility into the location, condition, and security of an asset.
Wireless Network-Ready Intelligent Traffic Management
Consolidate visual intelligence and wireless workloads at traffic intersections. This container is hosted in an Open Network Edge Services Software (OpenNESS) edge node, which contains the necessary software stacks to host a 5G RAN.
Use computer vision, deep learning, and edge networking to develop a solution for managing driver behavior and alertness. Provide real-time alerts to the driver and fleet manager, plus long-term analytics about drivers, vehicles, and routes.
Connect Edge Devices to Microsoft Azure* IoT
Simplify Azure* IoT Edge deployments. Install a web-based application that provides an out-of-box experience to securely connect your Intel device to Microsoft Azure* IoT Hub and Azure* IoT Central. Create resources and enable configuration and monitoring of edge AI and use case deployments.
You are responsible for payment of all third-party charges, including payment for use of Microsoft Azure* services.
Universal Wellpad Controller
Use an open application reference middleware to accelerate software modernization strategies for Process Control and Process Optimization in the upstream oil and gas industry. Add new protocols, data analysis, and other capabilities to meet specific application needs.
Amazon Web Services (AWS)* Cloud to Edge Pipeline
Single-click deployment of a ready-to-use cloud to edge inferencing pipeline that uses AWS IoT Greengrass and OpenVINO™ toolkit on the edge, and AWS IoT in the cloud. Includes sample AWS IoT Greengrass Lambda for image classification and object detection.
You are responsible for payment of all third-party charges, including payment for use of Amazon Web Services (AWS).
Machine Asset Monitoring and Control
Apply AI to process automation for better asset monitoring and control. Control processes with real-time capabilities and optimize process efficiency.
Compressor Leak and Surge Detection
Detect a compressor leak or surge by applying AI to time-series data. Identify surges that are against the direction of flow or an oscillating flow in both directions.
Electrical Fault Detection
Detect a fault or fault current in an electric power system.
Equipment Failure Detection
Apply machine learning to time-series data to detect potential equipment failures and provide recommended actions. Includes a prevalidated set of components in a ready-to-use, containerized architecture.
Create innovative solutions for traffic management, smart parking, geospatial mapping, road condition monitoring, and electronic tolling using video analytics, computer vision, edge networking, and deep learning algorithms.
Manufacturing Productivity Optimization
Use video, analytics, and AI to monitor factory production, identify constraints, enhance worker safety, and improve overall factory production and efficiency.
Network Video Recorder
Integrate video streams from a variety of edge devices into computer vision applications.
Industrial Cloud to Edge AI
Leverage Microsoft Azure* Machine Learning to continuously retrain and improve accuracy or increase capabilities of edge inferencing models.
Operational Efficiency and Safety
Increase supply efficiency and worker safety in industrial environments.
Thermal Anomaly Detection
Overheating is a common manufacturing anomaly. Use AI and time-series data to detect a departure from a reference thermal value or long-term average.
Store Traffic Analytics
Gain insight into consumer behavior by using computer vision models to identify patterns in customer volume and flow.
Edge Insights for Industrial
Integrate video and time-series data analytics on edge compute nodes. Run concurrent workloads on ready-to-use containerized analytics pipelines. Support acceleration and distribution of video analytics on CPUs, GPUs, and VPUs.
Converged Edge Insights
Build edge applications for next-generation networks, including 5G. This package makes it easy to configure the OpenNESS toolkit for on-premises or network edge deployments. Create applications that run on your choice of cloud framework on networks managed by any service provider.