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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

We provide an array of ready-to-use components, such as face recognition SDKs, alongside tailored software development services and cloud-based web solutions, mainly concentrating on image and video analysis, as well as the recognition of faces and objects. Our innovative technology finds applications across various sectors, including video and image archiving, online advertising, entertainment initiatives, media production, surveillance, security software, and among software developers catering to both end users and businesses. The Betaface facial recognition suite encompasses a comprehensive set of complex functionalities ranging from basic face detection to advanced face recognition tasks such as identification, verification, and matching in both 1:1 and 1:N formats, in addition to biometric measurements and face analysis. It also includes tracking facial features in video, recognizing age, gender, ethnicity, and emotions, as well as identifying skin, hair, and clothing colors, analyzing hairstyles, and describing the shapes of facial features. Our advanced technology is a crucial asset for various industries, providing them with the tools necessary for effective image and video analysis.

Description

Experience real-time facial animation powered by cloud technology. Sign up now for exclusive early access and transform your unique face designs with the ZRT Face Trainer. This cutting-edge technology enables any face mesh to express intricate emotions in real-time. The ZRT Face Trainer utilizes an extensive library of 4D data along with advanced machine learning algorithms to achieve stunning results. In less than an hour, your character mesh will be enhanced with some of the most sophisticated technology available in the gaming industry. With over 15TB of 4D scan data at its core, the ZRT Face Trainer allows face puppets to exhibit more than 72,000 distinct training shapes and innovative facial poses. Remarkably, these ZRT face puppets maintain a lightweight footprint of just 30MB during runtime, achieving real-time performance at a speed of 3ms per frame on a single CPU thread. It is essential to note that all inputs for the ZRT Face Trainer must undergo a registration process to ensure effective training, as the accuracy of this registration will significantly impact the overall quality of the facial animation generated. This innovative approach promises to redefine the standards of character animation in interactive media.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Maya
Unreal Engine

Integrations

Maya
Unreal Engine

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

Betaface

Founded

2007

Country

Germany

Website

www.betaface.com/wpa/

Vendor Details

Company Name

Ziva Dynamics

Country

Canada

Website

zivadynamics.com/zrt-face-trainer

Product Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

Product Features

3D Modeling

2D Drawing
Animation
Annotations
Bill of Materials
Character Modeling
Collaboration Tools
Component Library
Data Import / Export
For 3D Printing
For Architects
For Manufacturers
Reference Management
Simulation

Game Development

2D
3D
Analytics
Animation
Asset Management
Drag & Drop
IT Asset Management
Network Management
Physics
Player Management
Prototyping
Virtual Reality
eCommerce

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