Designed to remove the barriers of AI integration, Vision AI Developer Kit is now generally available. Created to accelerate AI use on the intelligent edge, the kit sports a camera using Qualcomm’s Vision Intelligence 300 platform. Software is also included that helps developers create intelligent edge solutions through Azure IoT Edge and Azure Machine Learning. Developers can leverage the kit to access an end-to-end tool that brings Azure-powered real-time image processing to local edge devices. Microsoft says the developer kit is manufactured by elnfochips and is available through Arrow Electronics. Microsoft details how the Vision AI Development Kit works across its various services. Among them are no code through Custom Vision on Azure Cognitive Service, Visual Studio Code integration, and modelling through Azure Machine Learning.
Functions
“Azure Cognitive Services support for no code development: Custom Vision, an Azure Cognitive Service, enables you to build your own computer vision model, even if you’re not a data scientist. It provides a user-friendly interface that walks you through the process for uploading your data, training, and deploying customer vision models including image tagging. The Vision AI Developer Kit integration with Custom Vision includes the ability to use Azure IoT Hub to deploy your custom vision model directly to the developer kit. These custom vision models are then accelerated using the camera’s Snapdragon Neural Processing Engine (SNPE), which enables image classification to run quickly even when offline. Azure Machine Learning integration for data scientists: Azure Machine Learning streamlines the building, training, and deployment of machine learning models using tools that meet your needs, including code-first, visual drag and drop, and automated machine learning experiences. The Vision AI Developer Kit enables data scientists to use Azure Machine Learning to build custom models and deploy them to the included camera. Visual Studio Code integration for developers: Visual Studio Code provides developers a single development environment to manage their code and access Azure services through plugins. For developers using Visual Studio Code, we have created a GitHub repository which includes sample Python modules, pre-built Azure IoT deployment configurations, and Dockerfiles for container creation and deployment. You can use Visual Studio Code to modify the sample modules or create your own and containerize them to deploy on the camera.”
