Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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

The FaceTec platform offers rapid, user-friendly, and highly secure 3D Liveness Detection and 3D Face Matching, catering to users across various devices. During the onboarding process, a simple two-second video-selfie is used to verify 3D liveness, align the user's 3D Face with their Photo ID, extract text through OCR, and facilitate the creation of their new account. Upon returning, FaceTec continuously authenticates users by confirming 3D Liveness and comparing their updated 3D FaceMap with the one captured during onboarding. If a match is found, users gain immediate access without needing passwords! They can log in using any smartphone, tablet, PC, or laptop, unlocking everything from their vehicle to their banking services. While legitimate users enjoy seamless access, malicious actors, bots, and hackers are effectively deterred by level 1&2 anti-spoofing measures certified by NIST/NVLAP. Recognized as the leading provider in the 3D face matching space, FaceTec delivers unparalleled security, adaptability, and ease of use compared to other biometric solutions. This innovative approach not only enhances user experience but also reinforces trust in digital transactions.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Adobe Analytics Yes 
Amazon Web Services (AWS) Yes 
Azure Marketplace Yes 
Microsoft 365 Yes 

Integrations

Adobe Analytics No 
Amazon Web Services (AWS) No 
Azure Marketplace No 
Microsoft 365 No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Exadel

Country

United States

Website

exadel.com/solutions/compreface/

Vendor Details

Company Name

FaceTec

Founded

2013

Country

United States

Website

www.facetec.com

Product Features

Alternatives

Alternatives

Oz Liveness Reviews

Oz Liveness

Oz Forensics