Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The adoption of facial recognition technology for authentication purposes is rapidly growing, particularly on mobile platforms. However, the combination of readily available images on social media and the advancements in both digital and print image quality has created vulnerabilities in biometric systems that can be exploited by malicious actors to deceive facial recognition software. These deceptive tactics, referred to as presentation attacks, encompass various methods such as using printed photographs, cutout masks, video replays, and 3D masks. Implementing liveness detection enhances security and improves the ability to identify fraudulent attempts. ID R&D's passive face liveness offers a notable advantage as it is not only secure but also user-friendly. Unlike other solutions that require additional steps and can be time-consuming, IDLive Face operates seamlessly, remaining unnoticed by users who are unaware that the liveness check is taking place. Moreover, the software does not provide any hints to potential fraudsters on how to bypass it. As a result of its intuitive design, passive liveness significantly minimizes user confusion, leading to lower abandonment rates and reduced need for human oversight. This streamlined approach ultimately contributes to a more efficient and secure user experience.
Description
OpenFaceTracker is a facial recognition application designed to recognize one or more faces in images or videos by using a database for identification. To run OpenFaceTracker, your system must have OpenCV 3.2 and QT4 installed; you can either compile the libraries manually by following build_oft or install OpenCV and QT through your preferred package manager. You have the option to compile OpenFaceTracker either as a library or as a standalone executable. Once compiled, you can open the resulting file to utilize the detection and recognition features, display help and exit options, list all available cameras, test the XML database, read the configuration settings, and verify environmental parameters. OpenFaceTrackerLib is built on OpenCV 3.2, which has brought numerous new algorithms and enhancements compared to version 2.4, with several modules being restructured and rewritten. While most algorithms from version 2.4 remain available, the interfaces may vary, necessitating users to familiarize themselves with the changes. Ultimately, OpenFaceTracker offers a versatile solution for facial recognition tasks across various platforms.
API Access
Has API
No
API Access
Has API
Yes
Integrations
ID R&D
No
IDLive Face Plus
No
IDVoice
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
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
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
ID R&D
Founded
2016
Country
United States
Website
www.idrnd.ai/passive-facial-liveness/
Vendor Details
Company Name
OpenFaceTracker
Founded
2017
Website
www.openfacetracker.net