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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
To fully harness the advantages of computer vision technology, achieving equitable outcomes across diverse ethnicities and genders is essential. Trueface collaborates with global partners to guarantee that its training datasets reflect the entirety of the world’s demographics. The accuracy of Trueface has been confirmed through industry-standard evaluations conducted at scale. Whether operating with a single camera or a vast network of thousands, Trueface has refined its production algorithms using challenging data and specific edge cases, including high-angle scenarios, to maintain precision across various deployments. Given the sensitive nature of biometric technology, it is imperative to uphold the highest security standards. Deployments can be executed on-premise, whether in the cloud, on physical servers, or at the edge, ensuring that sensitive data remains within its intended infrastructure. Additionally, the spoof detection technology effectively recognizes attempts at identity fraud and malicious actions. The onset of the COVID-19 pandemic and the widespread use of masks compelled Trueface to evolve and innovate its solutions to address new challenges in identity verification. This adaptability has positioned Trueface as a leader in the rapidly changing landscape of biometric technology.
API Access
Has API
API Access
Has API
Integrations
ID R&D
IDLive Face Plus
IDVoice
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
ID R&D
Founded
2016
Country
United States
Website
www.idrnd.ai/passive-facial-liveness/
Vendor Details
Company Name
BigBear.ai
Founded
1988
Country
United States
Website
www.trueface.ai/