Azure Percept Edge Devices for AI and IoT

Azure Percept Edge Devices for AI and IoT are designed to simplify the process of building and deploying AI-powered IoT solutions. These devices can be easily integrated into existing infrastructure, making it easier to get started with AI and IoT projects.

They are built on a modular architecture that allows for easy customization and upgradeability. This means you can start small and scale up as your project grows, without having to replace the entire device.

With Azure Percept Edge Devices, you can leverage the power of Azure's cloud services to process and analyze data from your IoT devices. This enables real-time insights and automation capabilities that can drive business value and improve operational efficiency.

Azure Percept is a bundle of software, services, and hardware developed to enable business transformation using modern tools such as AI and IoT at the edge.

It aims to solve integration difficulties and challenges of edge AI at scale and cover the full stack from silicon to services.

If this caught your attention, see: Azure Services Platform for Cloud Computing

Azure Percept allows efficient development and building of custom AI models, management and setup of IoT devices, and seamless integration with Azure cloud services.

This enables at-scale deployment and AI application prototyping.

The learning curve is significantly lowered for new users as Azure Percept is highly compatible with existing IoT architectures.

It offers low-code development, thus allowing users with limited data science knowledge to work on it with complete confidence.

Azure Percept focuses on extending AI to the edge with a single, end-to-end platform.

It integrates hardware accelerators with Azure AI and Azure IoT services, designed to be simple to use and ready to go with minimal setup.

Azure Percept is designed in accordance with Microsoft responsible AI principles to ensure edge AI solutions can adapt to customers' needs while helping ensure customers' trust.

Here are some of the key features of Azure Percept:

Azure Percept devices will automatically connect to Azure IoT Hub, which helps enable communication with security protections between internet of things devices and the cloud.

This platform is designed to simplify building and deploying AI at the edge with no-code, drag-and-drop Azure Percept Studio software and pre-built hardware devices.

Azure Percept is designed to be simple to use, with minimal setup required. This means you can get started with edge AI solutions quickly.

Azure Percept is deeply integrated with Azure AI, Azure Machine Learning, and Azure IoT management services, making it a seamless experience. You can work with these services right out-of-the-box.

The Azure Percept DK by ASUS is a pilot-ready development kit that comes with a carrier board, mounting tools, and Azure Percept Vision. This camera-enabled system on module (SoM) is optimized for industrial and retail environments.

Azure Percept Vision powers shelf-stock analytics, people and object detection, and loss prevention among other uses. It's a powerful tool for streamlining operations and improving efficiency.

Azure Percept Audio is an audio hardware accelerator that can be added to your development kit. It features a preconfigured four-mic linear array, making it perfect for creating customized speech functions that react to spoken commands, keyword spotting, and far field speech to local listening devices.

Get started today with Azure Percept, which can help you drive a wave of customer modernization with its edge AI capabilities powered by Azure.

You can pre-order Azure Percept DK and begin developing edge AI solutions that don't require extensive expertise or lengthy deployment timelines.

For more information, watch the Microsoft Ignite session, New Innovations to bring AI to the edge, on March 3 at 10:30 AM and 7:30 PM PST.

Azure Percept Studio hosts a collection of fully managed Azure services with added security and integrated for simple-to-use device provisioning and edge AI lifecycle management.

Using Azure Percept Studio, developers of all skill levels can explore the library of pre-built Azure AI models or build custom no-code models of their own.

Azure Percept works out-of-the-box with Azure Cognitive Services, Azure Machine Learning, Azure Live Video Analytics, and other Azure services to deliver vision and audio insights in real-time.

You can trust the cloud you choose, and with Azure Percept, you can put the cloud and decades of Microsoft security experience to work as you create edge AI solutions.

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Azure Percept is an edge-edge AI platform that offers built-in hardware acceleration integrated with Azure AI and IoT services.

Its hardware accelerators are designed with a hardware root of trust that interacts with device TPM and attestation services to prove device identity.

Azure Percept Studio provides an integrated collection of Azure services and tools for device provisioning, AI and machine learning deployments, and AI lifecycle management at the edge.

Here are some of the key features of Azure Percept Studio:

Azure Percept offers robust security features, including a zero-trust security module that enables absolute security for AI models, data in transit, and edge AI solutions.

Consider reading: Security on Azure

Azure Percept has three core components that make it a powerful platform for edge AI development. These components are designed to work together seamlessly to provide a comprehensive solution for building and deploying AI models at the edge.

The Azure Percept Development Kit offers diverse AI prototyping scenarios using computer speech or vision through varied and flexible hardware options. It provides security solutions and hardware acceleration as inbuilt features, allowing for efficient and real-time insights for AI models that can run on the device without requiring a cloud connection.

Azure Percept Studio is a management and launch portal for all edge AI models and solutions. It offers pre-developed models and allows users to create their own models using its low-code development features, making it easy for anyone to develop new models without needing expertise in data science or cloud computing.

The AI Hardware Reference Design and Certification Programs provide best practices guidelines, data sheets, and device specifications, assistance for device deployments, and help in firmware updates. This ensures that users can deploy their AI models with confidence and efficiency.

Here are the key components of Azure Percept:

Azure Percept's security measures are built into its edge AI solution using a Zero Trust security model, safeguarding sensitive AI models and data in transit and at rest. This comprehensive approach ensures security posture is monitored and governed.

A hardware root of trust is incorporated into Azure Percept's hardware accelerators, enabling strong device identity. This provides an additional layer of security.

Azure Percept integrates with Azure IoT Hub Device Provisioning Service (DPS) to provision devices to Azure with hardware-backed identity.