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LUNAKIOSK

A system for biometric recognition at ATMs and self-service checkouts

How it works

Luna Kiosk works with biometric data on self-service devices. The system receives photos or videos from the camera, detects a face, and compares it with the data stored in the database to confirm the user’s identity.

01

Tasks Solved

Customer identity verification
Depositing and withdrawing cash using biometrics
Card issuance and reissuance via a card kiosk
Biometric payments
Fraud prevention
Image quality assessment

02

What is recognized

For selecting the best shot

Incoming image quality assessment

The system detects whether a real person is in front of the camera or if it is a photo or a 3D mask

Liveness detection

With accuracy over 99%

Face detection

Identification of facial key points used for recognition

Facial landmark detection

03

Process model

Receiving and processing video streams from 3D cameras

Face detection, image quality assessment and best shot selection

Verification of three types of liveness:

· IR Liveness — analysis of infrared images captured by the camera
· Depth Liveness — analysis of depth map data measuring the distance between object surfaces and the camera
· FPR Liveness — image analysis and protection against spoofing attemp

04

Advantages

Liveness detection algorithms have been tested by iBeta

During testing, the system successfully detected 100% of spoofing attempts

Our Products

LUNAPLATFORM

Platform for people recognition and objects detection

LUNAID

System designed for recognition in mobile apps

LUNAPASS

System for recognition in browser

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