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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.

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

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

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

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

Learn more

LUNAID

System designed for recognition in mobile apps

Learn more

LUNAPASS

System for recognition in browser

Learn more

All Products

Still have questions?

Send a request and we will get back to you as soon as possible. We’ll provide detailed information about our products and answer any questions you may have.