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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
Unlock a vast array of insights through advanced image recognition technology that can analyze photos, even when they lack hashtags. By utilizing various hashtags, you can effectively track and organize Instagram posts, whether they are broad terms like #breakfast, event-related tags such as #christmas, or brand-specific ones like #starbucks. Employing cutting-edge machine learning, MetaEyes identifies and categorizes uploaded images and assigns tags without needing any human input. Its user-friendly reporting system offers both summary and in-depth analytics, along with robust filtering and sorting capabilities, complete with powerful export options. Furthermore, it can detect multiple human faces in a single image while providing predictions on facial attributes, including Age, Gender, Smile, Facial Hair, and Glasses. Additionally, the system can automatically identify and label explicit content, such as adult or violent material, present in the images. This comprehensive functionality ensures that users can efficiently manage and analyze visual content with ease.
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
MetaEyes
Country
France
Website
www.metaeyes.com
Product Features
Product Features
Social Media Monitoring
Audience Segmentation
Competitive Analysis
Configurable Alerts
Customer Engagement
Dashboard
Impact Scoring
Influencer Tracking
Reputation Management
Sentiment Analysis
Trend Tracking