top of page

Fake Detection in Identity Verification

Accurately Detecting

All Types of Fakes with AI

The "Fake Detection in Identity Verification Processes" solution primarily utilizes AI in identity verification processes within financial and real estate services to confirm that the user is indeed the actual person. By leveraging AI, it becomes possible to detect impersonations in videos and audio recordings that are difficult for humans to discern.

Credit Card_edited.jpg

ソリューションの特徴

Main Usage Scenarios

本人確認プロセス_1.png

Detecting Fakes in Identity Verification Processes

本人確認プロセス_2.png

Prevention of Impersonation

ソリューションの特徴

Solution Features

本人確認プロセス_3.png

Achieving High Accuracy in Video and Image Detection

本人確認プロセス_5.png

Ability to Detect Fakes

in Noisy Audio

ディープフェイク検知_4.png

Person Authenticity Analysis Beyond Real or Fake Detection

本人確認プロセス_6_2.png

Enhanced Detection of Unknown Fake Generation Methods

White Paper

Deepfake technology is an imminent threat to society, but the underlying technology, generative deep learning, is of great industrial value and is a promising technology that is expected to bring about change in many industries. NABLAS has published a white paper that not only discusses the threats and negative aspects of deepfakes, but also highlights the underlying technology, generative deep learning, and fake detection technology.

No posts published in this language yet
Once posts are published, you’ll see them here.
bottom of page