IFRS (Dataset)

IFRS (Dataset)
"Global" Information Certainty
Events
Dataset Category	Facial Images
URL
Keywords
Related Technology
Owning institution	Interpol
Custodian institution	Interpol
Custodian institution	Interpol
has funding
has images
has individuals	80000
runs database software
runs search software
Dataset full name	Interpol Facial Recognition System
Dataset Category	Law Enforcement
Country	IO

Graph View ↗︎

Type: Law Enforcement

• Details

Technical information:

Full name	Interpol Facial Recognition System
Country	IO
Contents	Facial Images
Images
Individuals	80,000
Runs database software
URL"URL" is a type and predefined property provided by Semantic MediaWiki to represent URI/URL values.
Related Technology

Developers and Users:

Developed by	Interpol
Owning institution	Interpol
Custodian institution	Interpol

What links here

Deployments

• Biometric Cameras in Haiti

• Facial recognition deployment in the airport of Dakar

• IFRS (Interpol)

Products

Description

As of November 2020, the number of individuals registered in IFRS is approximately 80 000. Further, the number of images exceeds that number because several images per individual can be stored.1

This page uses the following references:

• References#_SCITEdb2669e79f63d1f5f7576e9c7ca31d9c
• Security_Vision_Wiki_References#_SCITE0cbb7b419dc7fe5cce28934262cdb4a5

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Computerized facial recognition is a relatively new technology, being introduced by law enforcement agencies around the world in order to identify persons of interest.

The INTERPOL Face Recognition System (IFRS) contains facial images received from more than 179 countries which makes it a unique global criminal database.

Coupled with an automated biometric software application, this system is capable of identifying or verifying a person by comparing and analysing patterns, shapes and proportions of their facial features and contours.

Almost 1,500 terrorists, criminals, fugitives, persons of interest or missing persons have been identified since the launch of INTERPOL’s facial recognition system at the end of 2016. 2