Edge Insights for Vision

Accelerate the evaluation and implementation cycle of edge video appliances on platforms. Build an end-to-end video-based concurrent media and AI workload optimized on heterogeneous CPU and GPU.

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.

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.

Monitor traffic intersections via IP cameras to optimize traffic flow. Detect vehicles and pedestrians, record vehicle types and counts, calculate velocity and acceleration, and more.

Use computer vision and sensors to detect products removed from a cooler or cabinet, count inventory, identify the need for maintenance, and more.

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.

Single-click deployment of a ready-to-use cloud to edge inferencing pipeline.​ You are responsible for payment of all third-party charges, including payment for use of Amazon Web Services (AWS).

Integrate video streams from a variety of edge devices into computer vision applications.