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/VisionAIInIoTCentral
Get started today
- You 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