Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Create immersive 3D environments using HTML and an entity-component approach for platforms like Quest, Rift, WMR, SteamVR, as well as mobile and desktop devices. A-Frame allows developers to start from a basic HTML file without any installation requirements, making it accessible for newcomers. For those looking to experiment with A-Frame, remixing the starter example available on Glitch, an online code editor that offers instant hosting and deployment at no cost, is an excellent option. As a web framework tailored for crafting virtual reality (VR) experiences, A-Frame leverages HTML, ensuring a straightforward entry point for developers. However, A-Frame goes beyond being a mere 3D scene graph or markup language; its foundation is a robust entity-component framework that delivers a declarative, extensible, and composable architecture for three.js applications. Initially developed within Mozilla, A-Frame is now upheld by its co-creators at Supermedium, designed to facilitate the development of VR content in a user-friendly yet powerful manner. Over time, A-Frame has evolved into one of the most significant open-source VR communities, fostering collaboration and innovation among its users. This community-driven nature further enhances A-Frame's capabilities, as developers continuously contribute to its growth and feature set.
Description
Advanced video analysis technology can identify more than 20,000 different objects, locations, and activities within video content. It allows for the extraction of comprehensive metadata across various levels, including the entire video, individual shots, or specific frames. Users have the capability to define custom entity labels through AutoML Video Intelligence, tailoring the tool to their needs. Additionally, it offers the ability to gather insights in near real-time, using streaming video annotation alongside object-based event triggers. This functionality enables the creation of captivating customer experiences through highlight reels and personalized recommendations. Furthermore, it supports the recognition of over 20,000 objects, places, and actions in both stored and live video feeds. Users can search their video libraries in a manner similar to document searches, facilitating easier access to specific content. The rich metadata extracted can also serve to index, organize, and filter video assets, ensuring that the most relevant content is highlighted. With these features, organizations can leverage video data more effectively to enhance their operations and engage their audiences.
API Access
Has API
No
API Access
Has API
Yes
Integrations
8th Wall
Yes
Cardboard SDK
Yes
Google Cloud AutoML
No
Google Cloud Platform
No
Morphic
Yes
Unremot
No
Integrations
8th Wall
No
Cardboard SDK
No
Google Cloud AutoML
Yes
Google Cloud Platform
Yes
Morphic
No
Unremot
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.10 per minute
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
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
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
A-Frame
Website
aframe.io
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/video-intelligence