Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
CompreFace is an open-source facial recognition tool that is freely available and can be seamlessly incorporated into any system, requiring no prior expertise in machine learning. It is provided as a docker-compose configuration and accommodates various models that function on both CPU and GPU. Utilizing advanced techniques and frameworks such as FaceNet and InsightFace, this solution streamlines the detection of unauthorized access to sensitive locations and enhances office security. Moreover, it serves dual purposes by facilitating data collection for marketing strategies and enabling real-time ad targeting. Additionally, it aids in monitoring employees and students to ensure they are present in designated areas. CompreFace can identify customers as they enter, which allows businesses to enhance their customer service experience significantly. This technology also expedites the check-in process at hotels, conferences, and airports. Designed to be efficient, adaptable, and user-friendly, CompreFace stands out in the realm of facial recognition services, making it a valuable asset for various applications. Furthermore, its simplicity allows organizations of all sizes to leverage this technology effectively.
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
Integrations
Adobe Analytics
Amazon Web Services (AWS)
Azure Marketplace
Maya
Microsoft 365
Unreal Engine
Integrations
Adobe Analytics
Amazon Web Services (AWS)
Azure Marketplace
Maya
Microsoft 365
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
Exadel
Country
United States
Website
exadel.com/solutions/compreface/
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