Criminal Investigations (OBIM)
Description
The intended problem to solve is the identification of unknown victims and suspects involved in crimes that undermine the integrity of U.S. financial and payment systems. By using facial recognition and biometric image comparison, the USSS aims to efficiently and accurately identify individuals connected to criminal investigations, thereby supporting law enforcement efforts to detect, arrest, and prevent such crimes.
Detailed example
The system will query image galleries of known persons and may provide lists of potential matches. USSS personnel may use the potential matches to produce investigative leads which will assist in the further identification of victims or suspects.
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The intended purpose of this AI is so that USSS personnel may submit available photographs or video stills of these unknown persons as probe images (facial images or templates searched against the gallery of an FRS) to other government agencies for comparison against their image galleries. The agencies will query their image galleries of known persons and may provide lists of potential matches. They may use the potential matches to produce investigative leads which will assist in the further identification of victims or suspects. Additionally, we may request another government agency to conduct a one-to-one comparison of two photographs or video stills for investigative use.
Controls / human review
ATO: Yes; PIA: https://www.dhs.gov/sites/default/files/2024-09/24_0912_privacy-pia-usss033-facialrecognition_0.pdf
Data needed
Trained on mugshot data and paid volunteers.