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Live Video Analytics on IoT Edge

Microsoft

Live Video Analytics on IoT Edge

Microsoft

Live Video Analytics on IoT Edge allows you to build real time video analytics solutions on the edge. It provides a robust, scalable and extensible video analytics platform that can operate with your AI and integrate across your business to help decisions

Live Video Analytics (LVA) on IoT Edge provides new capabilities in Azure Media Services that empowers developers to build hybrid (i.e. edge + cloud) applications that analyze live video and combine video analytics with data from other IoT sensors and/or business data to build enterprise-grade solutions.

With Live Video Analytics, you can use your existing CCTV cameras for more than safety & security, you can now unlock the additional value from your video sensors to drive positive business outcomes. Live Video Analytics is designed for low latency, resiliency, efficient use of bandwidth, and compliance, but most importantly it is pluggable platform, so you can plug video analysis modules, such as the OpenVINO™ Model Server and OpenVINO™ DL Streamer – Edge AI Extension. These inference server modules, designed to work with Live Video Analytics, are highly optimized for computer vision workloads and developed for Intel architectures. You can also connect to other modules, such as Cognitive Services containers, custom edge modules built by you with open source machine learning models, or custom models trained with your own data (using Azure Machine learning or other equivalent services).

You can combine LVA functionality with other Azure edge modules such as Stream Analytics on IoT Edge to analyze video analytics in real-time to drive business actions (e.g. generate an alert when a certain type of object is detected with a probability above a threshold). You can also choose to integrate LVA with Azure services such Event Hub (to route video analytics messages to appropriate destinations), Cognitive Services Anomaly Detector (to detect anomalies in time-series data), Time Series Insights (to visualize video analytics data), and so on. This enables you to build powerful hybrid applications.

If you are an IoT solution developer looking to build solutions with live video analytics capabilities for businesses within Retail, Manufacturing, Transportation or for any business looking to automate their business processes by leveraging video sensors, then this is the platform for you. Give it a try.

Live Video Analytics on IoT Edge runs within the Azure IoT Edge framework. Once the LVA module is deployed on the edge, you can interact with it using IoT Hub. LVA on IoT Edge is currently in preview.

Supported environments: Linux, x86-64 and arm64

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