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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

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

Our device management system simplifies and secures the provisioning and monitoring of Digital Matter devices. By activating advanced debugging logs, users can swiftly and effectively address any issues that arise. Device settings can be managed effortlessly over-the-air, enhancing operational efficiency. The platform allows for the creation and management of templates, making it easy to configure multiple devices in bulk during provisioning. Data can be transmitted to your server using either HTTPS or TCP, ensuring secure communication. The integrated debugging tools facilitate seamless integration processes. All data is transmitted over an AES-256 encrypted connection, guaranteeing both its integrity and authenticity. Following this, data can be forwarded via HTTPS to the target platform, providing complete end-to-end encryption. Multiple functionalities, including parameter adjustments and connector settings, can be executed through API calls, allowing third-party servers to handle device control and provisioning seamlessly. This comprehensive approach ensures that users have a robust and versatile solution at their fingertips.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Lockii
Raspberry Pi OS
Slack
X (Twitter)

Integrations

Lockii
Raspberry Pi OS
Slack
X (Twitter)

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

Digital Matter

Country

Australia

Website

www.digitalmatter.com

Product Features

IoT

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

Product Features

GPS Tracking

Alerts/Notifications
Asset Tracking
Driver Management
Historical Reporting
Mobile Tracking
People Tracking
Real Time Tracking
Routing
Status Tracking
Territory Management
Vehicle Tracking

IoT

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

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Alternatives

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