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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
The 3rd generation Tencent YouTu Grandmother Model has enhanced Face Recognition capabilities through the application of diverse training techniques, including metric learning, transfer learning, and multi-task learning. Tailored fine-tuning and model distillation ensure that it aligns with the performance and latency needs of various applications. The technology has been rigorously tested against Tencent's extensive user base and numerous complex scenarios, demonstrating remarkable reliability with an availability rate exceeding 99.9%. Additionally, Face Recognition excels in handling high concurrency, impressive throughput, and minimal latency, efficiently processing millions of faces within mere milliseconds to meet real-time demands. Its versatility allows for deployment in numerous contexts, such as online photo management, smart retail solutions, security monitoring, access control, attendance tracking, login systems, facial effects, online examinations, and beyond, showcasing its broad applicability across different industries. This adaptability and efficiency make it an invaluable tool for modern technological environments.
API Access
Has API
API Access
Has API
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
Tencent
Founded
2013
Country
China
Website
intl.cloud.tencent.com/product/facerecognition