Building Vision AI applications has never been that simple with Azure IoT Central and IoT Edge (https://aka.ms/iotshow/VisionAIInIoTCentral)Today, you can use various technologies to create Video Analytics solutions end to end, but assembling all these technologies from video acquisition, analytics at the edge to managing the cameras and gateways is not trivial.The Azure IoT Central team just released a new App Template and IoT Edge modules that will help you do all this in a matter a hours.Check out this demo heavy episode of the IoT Show with Nandakishor Basavanthappa, PM in the Azure IoT Central team.Learn more reading the bog post at https://aka.ms/iotshow/VisionAIInIoTCentralGet started todayYou can use the new Video Analytics for Object & Motion Detection template to build and deploy your live video analytics solution.You can build Video Analytics solution within hours by leveraging Azure IoT Central, Live Video Analytics, and Intel.You can learn more about Live Video Analytics on IoT Edge here and try out some of the other video analytics scenarios via the quickstarts and tutorials here. These show you how you can leverage open source AI models such as those in the Open Model Zoo repository or YOLOv3, or custom models that you have built, to analyze live video.You can learn more about the OpenVINO™ Inference server by Intel® in Azure marketplace and its underlying technologies here. You can access developer kits to learn how to accelerate edge workloads using Intel®-based accelerators CPUs, iGPUs, VPUs and FPGAs. You can select from a wide range of AI Models from Open Model Zoo
It's the golden era for computer vision, AI, and machine learning – now is a great time to extract value from videos to impact science, society, and business! Microsoft Rocket's goal is to democratize video analytics: build a system for real-time, low-cost, and private analysis of live videos. In this show, we will show how Microsoft's Live Video Analytics on IoT Edge platform and Microsoft Rocket's containers can be used in tandem for building highly efficient and accurate, real-world live video analytics applications, such as object detection & counting (e.g., cars driving through an intersection), and alerting on objects of interest (e.g., when a customer enters a store).Learn more about Microsoft Rocket integration with Live Video Analytics at https://aka.ms/iotshow/rocket
Live Video Analytics on IoT Edge enables you to build video analytics enabled IoT solutions without worrying about the complexity of building and operating a live video pipeline. You can plugin your own custom AI and build custom business logic that combines video analytics with signals from other IoT sensors, to drive business decisions in real-time.Learn more at https://aka.ms/iotshow/LVAOnIoTEdge
Demo of Live Video Analytics
Introduction to Live Video Analytics
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