Intel® Edge Software Hub
Download prevalidated software to learn, develop, and test your solutions for the edge.
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.
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.
Human Wellness Monitoring
Apply deep learning models to medical imaging datasets to detect disease and predict the probability of infection.
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.
Apply predictive models to genomics data collected from networked labs to identify interventions tailored to individual patients.
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.