IDLive Face

IDLive Face

ID R&D
+
+

Related Products

  • Gemini Enterprise Agent Platform
    1,161 Ratings
    Visit Website
  • ARGOS Identity
    8 Ratings
    Visit Website
  • Sumsub
    235 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • SMS Storetraffic
    132 Ratings
    Visit Website
  • TinyPNG
    72 Ratings
    Visit Website
  • Google AI Studio
    41 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    443 Ratings
    Visit Website
  • sellerboard
    308 Ratings
    Visit Website

About

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.

About

The use of facial recognition for authentication is becoming increasingly prevalent — especially on mobile devices. But between easy access to images on social media and advances in digital and print image resolution, biometric systems have security gaps that fraudsters can exploit to successfully spoof a facial recognition system. These spoofs, called presentation attacks, include printed photos, cutout masks, digital and video replay attacks, and 3D masks. The benefit of liveness is improved security and fraud detection. The benefit of ID R&D’s passive face liveness is that it is both secure and easy to use. Whereas other products add extra steps and time to the liveness check, IDLive Face is imperceptible to customers who don’t even know it’s happening. And, the software gives no clues to fraudsters on how to beat it. Because passive liveness is less confusing for users, abandonment rates are greatly reduced and less human intervention is needed.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Organizations that want to automate their image and video analysis with machine learning.

Audience

Companies in need of a passive facial liveness detection solution

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/rekognition/

Company Information

ID R&D
Founded: 2016
United States
www.idrnd.ai/passive-facial-liveness/

Alternatives

Alternatives

Oz Liveness

Oz Liveness

Oz Forensics
Facia

Facia

Facia.ai

Categories

Categories

Computer Vision Features

Blob Detection & Analysis Supported
Building Tools Supported
Image Processing Supported
Multiple Image Type Support Supported
Reporting / Analytics Integration Supported
Smart Camera Integration Supported

Integrations

AWS AI Services Supported
AWS App Mesh Supported
Amazon Augmented AI (A2I) Supported
Amazon Web Services (AWS) Supported
BotCore Supported
Descope Supported
ID R&D Not Supported
IDLive Face Plus Not Supported
IDVoice Not Supported
Orange Logic Supported
Qrvey Supported
Quickwork Supported
SightRadar Supported
Trendzact Supported
Unremot Supported
Visionati Supported
n8n Supported

Integrations

AWS AI Services Not Supported
AWS App Mesh Not Supported
Amazon Augmented AI (A2I) Not Supported
Amazon Web Services (AWS) Not Supported
BotCore Not Supported
Descope Not Supported
ID R&D Supported
IDLive Face Plus Supported
IDVoice Supported
Orange Logic Not Supported
Qrvey Not Supported
Quickwork Not Supported
SightRadar Not Supported
Trendzact Not Supported
Unremot Not Supported
Visionati Not Supported
n8n Not Supported
Claim Amazon Rekognition and update features and information
Claim Amazon Rekognition and update features and information
Claim IDLive Face and update features and information
Claim IDLive Face and update features and information