Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
A comprehensive platform designed for the detection and prevention of health risks is essential. The ability to access real-time data is vital to control the distribution of illnesses effectively. By utilizing IoT devices, machine learning, and advanced data analytics, we can enhance health and safety monitoring. In densely populated areas—ranging from corporate offices to amusement parks—public health oversight has emerged as a critical concern worldwide. Implementing a strong disease prevention strategy is key to fostering a safer environment for individuals while maintaining business operations. Insight's Connected Platform for Detection and Prevention offers a versatile and expandable solution aimed at promoting smarter and safer conditions in public environments. This platform consolidates sensor information into a single dashboard, delivering immediate visibility into health metrics. By harnessing the power of machine learning, the tailored application can issue alerts and recommendations for social interactions that meet your organization's specific needs, ultimately contributing to a healthier society. Additionally, the integration of data-driven insights empowers organizations to proactively address potential health threats.
API Access
Has API
API Access
Has API
Integrations
Azure NetApp Files
Chata.ai
Intercede MyID
Microshare
NetApp Cloud Insights
NetApp Virtual Storage Console
Raspberry Pi OS
Slack
X (Twitter)
Zmanda
Integrations
Azure NetApp Files
Chata.ai
Intercede MyID
Microshare
NetApp Cloud Insights
NetApp Virtual Storage Console
Raspberry Pi OS
Slack
X (Twitter)
Zmanda
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
Insight
Founded
1988
Country
United States
Website
insight.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
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization