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Description
Azure Percept is a user-friendly, all-encompassing platform designed to enhance security while developing edge AI solutions. You can initiate your proof of concept within minutes, thanks to hardware accelerators that effortlessly connect with Azure AI and Azure IoT services. Out of the box, Azure Percept is compatible with Azure Cognitive Services, Azure Machine Learning, and various other Azure offerings, providing real-time insights for both vision and audio applications. This end-to-end edge AI platform includes hardware accelerators that are integrated with Azure AI and IoT services, facilitating a smoother development process. With pre-built AI models and robust solution management tools, you can quickly kickstart your proof of concept. Built-in security features ensure that your edge AI solution safeguards your most sensitive and high-value assets. You can begin with a collection of pre-existing AI models tailored for vision tasks, such as object detection, shelf analytics, and vehicle analytics, as well as audio functions like voice control and anomaly detection. Additionally, you have the flexibility to customize AI model training without writing any code and to deploy your solutions either locally or in the cloud, thereby maximizing your implementation options. This versatility and ease of use make Azure Percept a compelling choice for organizations looking to harness the power of edge AI.
Description
Cloud IoT Core is a comprehensive managed service designed to facilitate the secure connection, management, and data ingestion from a vast array of devices spread across the globe. By integrating with other services on the Cloud IoT platform, it offers a holistic approach to the collection, processing, analysis, and visualization of IoT data in real-time, ultimately enhancing operational efficiency. Leveraging Cloud Pub/Sub, Cloud IoT Core can unify data from various devices into a cohesive global system that works seamlessly with Google Cloud's data analytics services. This capability allows users to harness their IoT data streams for sophisticated analytics, visualizations, and machine learning applications, thereby improving operational workflows, preempting issues, and developing robust models that refine business processes. Additionally, it enables secure connections for any number of devices—whether just a few or millions—through protocol endpoints that utilize automatic load balancing and horizontal scaling, ensuring efficient data ingestion regardless of the situation. As a result, businesses can gain invaluable insights and drive more informed decision-making processes through the power of their IoT data.
API Access
Has API
API Access
Has API
Integrations
Azure AI Services
Azure Industrial IoT
Azure IoT Central
Azure Machine Learning
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Platform
Google Cloud Trace
Google Data Studio
Integrations
Azure AI Services
Azure Industrial IoT
Azure IoT Central
Azure Machine Learning
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Platform
Google Cloud Trace
Google Data Studio
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.00045 per MB
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/azure-percept/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/iot-core/
Product 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
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
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