Email Iconsupport@ingera.com.brPhone Iconouvidoria@ingera.com.br
Ingera Icon

Anti Spoofing

Passive and Active

Anti-spoofing is a critical aspect of biometric authentication systems that ensures the accuracy and reliability of the authentication process

Anti Spoof

Prevent spoofing attacks

In the context of biometrics, anti-spoofing measures are essential to prevent identity theft and fraudulent activities. By implementing effective anti-spoofing measures, biometric authentication systems can provide enhanced security and convenience for users.

Passive Anti-Spoofing

Passive anti-spoofing techniques are designed to detect and prevent spoofing attacks without requiring any user interaction. These techniques typically rely on sensors to capture biometric data, which is then analyzed to determine whether it is genuine or fake.

Passive anti-spoofing techniques are essential for ensuring the accuracy and reliability of biometric authentication systems, as they can detect and prevent spoofing attacks without requiring any user interaction. By implementing these techniques, biometric authentication systems can provide enhanced security and convenience for users, while also reducing the risk of identity theft and fraud.

Compare Similarity

Our service provides advanced anti-spoofing measures by comparing selfies to detect any similarity between multiple images. By using advanced algorithms, we can identify patterns and detect any attempt at a spoofing attack by comparing the images for similarity.

This helps prevent massive attacks of spoofing and ensures the accuracy and reliability of biometric authentication systems. Our service is designed to provide enhanced security and convenience for users, while reducing the risk of identity theft and fraud.

Liveness Detection - Challenge

Liveness detection involves analyzing the biometric data to determine whether it is coming from a live person or a fake object, such as a photograph or a mask. This technique can be used with various biometric modalities, such as facial recognition, voice recognition, and fingerprint scanning.

SDKs

  • Face Liveness Detection
  • Web SDK (React, Angular, JS...)
  • Mobile SDK (Android, iOS, Flutter)