Facial Recognition at the University of Miami

Facial Recognition at the University of Miami
Excluded from graph
Deployment Status	Ongoing
Deployment Start Date
Deployment End Date
Events
City	Miami (FL)
Country	USA
Involved Entities	Florida Department of Law Enforcement, Pinellas County Sheriff’s Office
Keywords
Technology Deployed	FACES (FBI) Software
Information Certainty	Rumoured
Primary sources	1, 2
Datasets Used	FACES (FBI) Dataset, Unknown Dataset 0031
Deployment Type	Surveillance
runs search software
managed by	University of Miami
used by	University of Miami Police Force
Potentially used by
Information Certainty	0
Summary	0

Graph View ↗︎

Information Certainty: Rumoured

Deployment Purpose: Surveillance

Summary
0

• Details

Products and Institutions:

Product Deployed	FACES (FBI) Software
Institutions ⠉	FBI
Datasets	FACES (FBI) Dataset Unknown Dataset 0031
Search software

Status and Events:

Status	Ongoing
Events
Start Date
End Date

Users:

Involved Entities	Florida Department of Law Enforcement Pinellas County Sheriff’s Office
Managed by	University of Miami
Used by	University of Miami Police Force

Location:

City	Miami (FL)
Country ⠉	USA

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Description

Students believe that facial recognition was used to identify them at protests. The University of Miami Police Department (UMPD) denies it performed facial recognition searches. However it had previously been identified as a user of the FACES (FBI) database, which is for facial recognition.

In 2019, the Orlando Sentinel named the university police department as a user of the Face Analysis Comparison & Examination System (FACES), a 33-million-photo database. The images in FACES are sourced from driver’s license and law enforcement photos. UMPD was also listed as a user in a 2016 PowerPoint by the Pinellas County, Florida, Sheriff’s Office, which maintains the FACES database 1

UM says the photo comparison process is independent of UMPD; therefore, UMPD does not utilize facial recognition—even though UMPD is sending images to agencies that do use facial recognition. PCSO has one of the largest databases in the country. 2

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This page uses the following references:

• Security_Vision_Wiki_References#_SCITE0d5989cb644ba3ff09941bd2f453fd58
• Security_Vision_Wiki_References#_SCITE4cd178a1224f98d6366c87b006710740