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Average Ratings 0 Ratings

Total
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

KINEXON collects real-time localization information and converts it into impactful actions for various sectors, including industry, sports, and entertainment. Unlock insights that were previously out of reach by utilizing our advanced technology, allowing you to turn data into strategic advantages. Are you aware that you can enhance operational efficiency by harnessing real-time location data from interconnected assets for applications like automated order processing, quality assurance, or inventory restocking? By automating processes that involve numerous moving assets, you can greatly reduce the risk of human error and the burden of time-consuming manual operations, leading to heightened overall efficiency. With millions of containers utilized globally in manufacturing, poor management of these assets can lead to significant waste of both time and financial resources. Implementing automated container management systems, which rely on accurate RTLS data regarding container locations and status on the production floor, significantly boosts transparency and utilization of containers, ultimately optimizing operations. Moreover, this level of efficiency can lead to a more streamlined workflow and improved productivity across the board.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Raspberry Pi OS Yes 
Slack Yes 
Smartabase No 
X (Twitter) Yes 

Integrations

Raspberry Pi OS No 
Slack No 
Smartabase Yes 
X (Twitter) No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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 No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Actcast

Founded

2018

Country

United States

Website

actcast.io

Vendor Details

Company Name

KINEXON

Founded

2012

Country

Germany

Website

kinexon.com

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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