In March, Microsoft unveiled the public preview of Azure Percept, a platform of hardware and services that aims to simplify the ways in which customers can use Azure AI technologies on the edge. Azure Percept is Microsoft’s zero-to-low-code platform that includes sensory hardware accelerators, AI models, and templates.
Customers in retail, manufacturing, healthcare, energy, shipping/logistics, automotive, and other industries are able to use Percept in conjunction with Azure cloud offerings such as device management, AI model development, and analytics.
Microsoft has offered a video and blog post describing how to use Percept.
Object recognition: Microsoft shows semantic segmentation AI model sample code for object recognition and describes how to convert TensorFlow, ONNX, or Caffe models for execution upon the Intel Movidius Myriad X within the Azure Percept developer kit.
People counting reference application: Azure Percept Studio includes a free, open-source reference application which detects people and generates coordinates in a real-time video stream. The application also provides a count of people in a user-defined region within the camera’s viewport. This application showcases the best practices for security and privacy-sensitive AI workloads.
Microsoft notes that “the template deploys the containers to the Azure Percept developer kit, creates the storage accounts in the public cloud, connects the IoT Hub message routes to the storage locations, deploys the stateless Azure Websites, and then connects the website to the storage locations.”
The developer kit and Percept hardware are now available.
Azure | DevOps | edge AI | Microsoft | object recognition