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What is Azure Percept?

Azure Percept is a comprehensive and intuitive platform that bolsters the security of edge AI solution development. You can get started on your proof of concept within minutes by leveraging hardware accelerators that are specifically engineered for seamless integration with Azure AI and Azure IoT services. The platform functions directly with Azure Cognitive Services, Azure Machine Learning, and an array of other Azure tools to deliver instantaneous insights for visual and auditory data. This all-in-one edge AI platform incorporates integrated hardware accelerators that connect effortlessly to Azure's AI and IoT services, facilitating a streamlined experience. With access to pre-built AI models and management tools, you can swiftly initiate your proof of concept. Furthermore, robust security features are woven into your edge AI solution, protecting your most crucial and valuable resources. You can also tap into a diverse library of ready-made AI models that provide vision capabilities, such as object detection and shelf analytics, as well as audio functionalities like voice control and anomaly recognition. The platform empowers users to customize AI model training without requiring any coding skills, allowing for deployment options that include both local and cloud environments. This level of flexibility guarantees that users can adapt their AI solutions to meet specific requirements while ensuring top-notch security and operational effectiveness. Ultimately, Azure Percept represents a significant advancement in making edge AI more accessible and secure for organizations of all sizes.

What is Azure IoT Edge?

Azure IoT Edge is a comprehensive service that runs on Azure IoT Hub, allowing you to implement a range of workloads, from artificial intelligence to both Azure and third-party services, as well as your own tailored business logic, directly onto IoT edge devices through the use of standard containers. By positioning specific workloads closer to the network's edge, these devices can reduce latency in communication with the cloud, react quickly to local events, and sustain their operations even during extended offline durations. You have the flexibility to apply models that were created and trained in the cloud right at the location where they are needed. For example, if a predictive model for quality control is set up on a factory camera and issues arise, IoT Edge has the capability to issue an alert, analyze the data locally, or send it to the cloud for further examination. This service not only guarantees the dependable and secure performance of your edge devices, but it also ensures they can operate effectively with limited or no cloud connectivity. Additionally, Azure IoT Edge includes device management features that keep the latest status of your devices in sync automatically, which improves overall operational efficiency and responsiveness. This smooth integration not only fosters a more effective workflow across your IoT ecosystem but also enhances the ability to make real-time decisions based on localized data processing. Ultimately, Azure IoT Edge empowers organizations to harness the full potential of their IoT devices and data.

Media

Media

Integrations Supported

Microsoft Azure
Azure AI Services
Azure Industrial IoT
Azure IoT Central
Azure IoT Hub
Azure Kinect DK
Azure Machine Learning
Azure Marketplace
Docker
Microsoft 365
Microsoft Defender for Cloud
NVIDIA DRIVE
SAP Cloud Platform
The Asset Guardian EAM (TAG)

Integrations Supported

Microsoft Azure
Azure AI Services
Azure Industrial IoT
Azure IoT Central
Azure IoT Hub
Azure Kinect DK
Azure Machine Learning
Azure Marketplace
Docker
Microsoft 365
Microsoft Defender for Cloud
NVIDIA DRIVE
SAP Cloud Platform
The Asset Guardian EAM (TAG)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/azure-percept/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/iot-edge/

Categories and Features

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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