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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Azure IoT Hub No 
Azure Kinect DK No 
Azure Marketplace No 
Docker No 
Microsoft 365 No 
Microsoft Azure No 
Microsoft Defender for Cloud No 
NVIDIA DRIVE No 
Raspberry Pi OS Yes 
SAP Cloud Platform No 
Slack Yes 
The Asset Guardian EAM (TAG) No 
X (Twitter) Yes 

Integrations

Azure IoT Hub Yes 
Azure Kinect DK Yes 
Azure Marketplace Yes 
Docker Yes 
Microsoft 365 Yes 
Microsoft Azure Yes 
Microsoft Defender for Cloud Yes 
NVIDIA DRIVE Yes 
Raspberry Pi OS No 
SAP Cloud Platform Yes 
Slack No 
The Asset Guardian EAM (TAG) Yes 
X (Twitter) No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

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 No 
Big Data Analytics No 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management No 
Device Management No 
Performance Management No 
Prototyping No 
Visualization No 

Product Features

IoT

Application Development No 
Big Data Analytics No 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management No 
Device Management No 
Performance Management No 
Prototyping No 
Visualization No 

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