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Description
Actcast is a cutting-edge edge-AI IoT platform service that seamlessly connects real-world events and data to the Internet by executing deep learning inference on edge devices, which facilitates immediate sensing, analysis, and assimilation of physical data with online systems while minimizing both data transfer expenses and privacy concerns. By leveraging edge computing, it allows for the execution of deep learning models directly on affordable hardware like Raspberry Pi, transforming raw inputs from sensors and cameras into meaningful, semantic information that can be relayed to web services or applications. The platform is designed to support the deployment, remote management, and monitoring of IoT applications, referred to as "Acts," across a variety of devices, offering developers essential tools such as an SDK and command-line interface for creating, packaging, and deploying applications within Docker containers that analyze input and deliver condensed outputs. Furthermore, Actcast features capabilities for organizing device groups, setting up triggers and webhooks for event notifications, and managing updates and device statuses through a unified dashboard, ensuring a more streamlined and efficient IoT experience. This comprehensive approach not only enhances operational efficiency but also improves the scalability of IoT solutions.
Description
Azure IoT Edge is a comprehensive service that operates on the Azure IoT Hub platform. It allows you to deploy cloud-based workloads, artificial intelligence applications, Azure services, third-party tools, or custom business logic on Internet of Things (IoT) edge devices using standard container technology. By relocating specific workloads closer to the network edge, these devices can minimize their communication time with the cloud, respond more swiftly to changes in their local environment, and maintain functionality even during prolonged periods without internet access. You can implement models that have been developed and refined in the cloud directly on-site. For instance, when a predictive model is used on a factory camera for quality assurance and detects an anomaly, IoT Edge can initiate an alert, process the relevant data locally, or forward it to the cloud for more in-depth evaluation. Furthermore, your edge devices can be managed securely and effectively, ensuring reliable operation even in scenarios of limited or no connectivity. The device management feature of Azure IoT Edge automatically updates and synchronizes the current state of each device. This seamless integration fosters enhanced operational efficiency, enabling businesses to harness the full potential of their IoT solutions.
API Access
Has API
API Access
Has API
Integrations
Azure IoT Hub
Azure Kinect DK
Azure Marketplace
Docker
Microsoft 365
Microsoft Azure
Microsoft Defender for Cloud
NVIDIA DRIVE
Raspberry Pi OS
SAP Cloud Platform
Integrations
Azure IoT Hub
Azure Kinect DK
Azure Marketplace
Docker
Microsoft 365
Microsoft Azure
Microsoft Defender for Cloud
NVIDIA DRIVE
Raspberry Pi OS
SAP Cloud Platform
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Actcast
Founded
2018
Country
United States
Website
actcast.io
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/iot-edge/
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization