Facial recognition software

Facial recognition biometrics ayonix rvision

Why Rvision Facial Recognition Compliant and Non-compliant

Powered by Ayonix,  Ayonix is an innovative company based in Japan. Established in 2007, it focuses on Face recognition and face-related technologies. Click here to find out more
Ayonix is an innovation technology company which develops its own patented technologies. 

Rfacial recognition software is a high performance, highly scalable application, providing the most accurate and fastest results for the most demanding real-time or post-event face recognition use cases including;

     1. Large volumes of data throughput

     2. Large numbers of users

     3. Large numbers of devices

     4. Large scale deployments

Rfacial recognition app means this technology can be with you 24/7/365. All you need is your mobile phone. 

WE CAN EFFECTIVELY ENHANCE YOUR BUSINESS SECURITY, PUBLIC SAFETY, LAW ENFORCEMENT AND CUSTOMER RECOGNITION.  

Click here to find out about compliant recognition, no more cards, keys or pins. you already have everything you need

Realtime

Video Surveillance and monitoring to identify persons of interest from CCTV and mobile video cameras. 

Still Image Searching are images captured from mobile cameras and smart devices in real-time against databases of persons of interest.

Post Event

Video Analysis of recorded video to identify persons of interest very quickly. 

Still Image Analysis of images captured from video stills, mobile cameras and smart devices against databases of persons of interest 

Integration

RVision can perform integrations with other systems. Video or still images from external systems are obtained then notifying systems if an alert is triggered.

The matching platform then compares the two images, or single images against a centrally held database of persons of interest, returning the match score generated.

Facial recognition product overview

Ayonix Face login

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Public security

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Ayonix Face Matcher

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Ayonix FaceID-SDK

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Shop Security

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Marketing using facial recognition

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Video

Facial biometric overview