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ease
features
design
support

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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

It possesses features such as facial recognition, attribute assessment, facial comparison, and liveness verification. This technology is adaptable for various sectors, including finance, personal identification security, and retail applications. It fulfills essential business needs like identity confirmation, attendance tracking through facial recognition, and access control through gates. The system can swiftly detect human faces and provide the bounding box coordinates for their locations. Additionally, it accurately identifies multiple types of attribute information and can generate 150 key point coordinates on a face. It can assess facial traits to compare two faces and produce a similarity score, thereby determining if they belong to the same individual. Furthermore, it supports the verification of names, identity card numbers, and facial images against reliable data sources, ensuring a precise assessment of a user's identity's authenticity. The system is capable of performing facial detection, tracking, and data acquisition offline, while also supporting liveness detection and capturing high-resolution facial images. With these comprehensive capabilities, it enhances security measures and improves user experience across various applications.

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

Baidu

Founded

2000

Country

China

Website

intl.cloud.baidu.com/product/face.html

Vendor Details

Company Name

Ziva Dynamics

Country

Canada

Website

zivadynamics.com/zrt-face-trainer

Product Features

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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