For the Vision AI Developer Kit, Microsoft and Qualcomm have partnered to simplify training and deploying computer vision-based AI models. Developers can use Microsoft's cloud-based AI and IoT services on Azure to train models while deploying them on the smart camera edge device powered by a Qualcomm's AI accelerator. Let's take a close look at Vision AI Developer Kit. The Vision AI Developer Kit not only looks stylish and sophisticated, but also boasts of an impressive configuration. The kit is powered by a Qualcomm Snapdragon 603 processor, 4GB of LDDR4X memory and 16GB of eMMC storage.

For the Vision AI Developer Kit, Microsoft and Qualcomm have partnered to simplify training and deploying computer vision-based AI models. Developers can use Microsoft's cloud-based AI and IoT services on Azure to train models while deploying them on the smart camera edge device powered by a Qualcomm's AI accelerator. Let's take a close look at Vision AI Developer Kit. The Vision AI Developer Kit not only looks stylish and sophisticated, but also boasts of an impressive configuration. The kit is powered by a Qualcomm Snapdragon 603 processor, 4GB of LDDR4X memory and 16GB of eMMC storage. Images are captured by an 8-megapixel camera sensor capable of recording in 4K UHD. The device also comes with a four-microphone array and speaker that can be utilized for building voice-based user interfaces.

For the Vision AI Developer Kit, Microsoft and Qualcomm have partnered to simplify training and deploying computer vision-based AI models. Developers can use Microsoft's cloud-based AI and IoT services on Azure to train models while deploying them on the smart camera edge device powered by a Qualcomm's AI accelerator. Let's take a close look at Vision AI Developer Kit. The Vision AI Developer Kit not only looks stylish and sophisticated, but also boasts of an impressive configuration. The kit is powered by a Qualcomm Snapdragon 603 processor, 4GB of LDDR4X memory and 16GB of eMMC storage.

First announced at BUILD 2018, Microsoft and Qualcomm have debuted their Vision AI Developer Kit for building computer vision applications. The kit is built on Qualcomm's Vision Intelligence 300 Platform and can run AI models locally or in the cloud using Microsoft's Azure ML and Azure IoT Edge platforms. The hardware runs Yocto Linux, uses a Qualcomm Snapdragon 603 chip, has 4GB of LDDR4X memory, and 64GB of storage. The camera is 8-megapixel, records in 4K, and captures audio using an array of four microphones. An SDK combining Visual Studio Code, a module which can recognise in excess of 183 unique objects, prebuilt Azure IoT deployment configurations, Python modules, and a Vision AI Developer kit extension for Visual Studio is available on GitHub.

Microsoft and Qualcomm have released the Vision AI Developer Kit. The dev kit includes a camera and software required to work with multiple Azure platforms. With it, companies can use Azure IoT Edge and Azure Machine Learning. The kit is based on the Qualcomm Vision Intelligence Platform and powered by Qualcomm AI Engine. The dev kit was announced last year and was available in preview last summer, but it is now generally available to the public.

Artificial intelligence (AI) workloads include megabytes of data and potentially billions of calculations. With advancements in hardware, it is now possible to run time-sensitive AI workloads on the edge while also sending outputs to the cloud for downstream applications. AI scenarios processed on the edge can facilitate important business scenarios, such as verifying if every person on a construction site is wearing a hardhat, or detecting whether items are out-of-stock on a store shelf. The combination of hardware, software, and AI models needed to support these scenarios can be difficult to organize. To remove this barrier, we announced a developer kit last year with Qualcomm, to accelerate AI inferencing at the intelligent edge.

Today at the Microsoft Build developer conference, we are announcing a partnership with Qualcomm, one of the largest mobile and IoT chipset manufacturers in the world, to jointly create a vision AI developer kit. This will empower Qualcomm's latest AI hardware accelerators to deliver real-time AI on devices without the need for constant connectivity to the cloud or expensive machines. This vision AI developer kit brings all the key hardware and software required to develop camera-based IoT solutions using Azure IoT Edge and Azure Machine Learning (ML) – helping innovators deliver the next generation of AI-enabled robotics, industrial safety, retail, home and enterprise security cameras, smart home devices and more. This is a crucial step toward enabling developers to easily create, manage and monitor AI on the edge. This partnership allows developers to start building AI offerings with prebuilt solutions -- including customizable models -- or create new AI models and deploy directly to the cloud or to the new hardware accelerated devices.

Integrated with Azure IoT Edge and working with the Microsoft Azure Machine Learning service (public preview), this Azure IoT Starter kit enables developers to build vision AI solution and run their AI models on the device.