Crime-Stopping Facial Recognition

Marinus Analytics Uses Biometrics to Find Trafficked Children

Carnegie Mellon University-based start-up, Marinus Analytics, has announced a new facial recognition technology that will help law enforcers identify missing persons.

Called 'FaceSearch,' this new program allows police to match a child's face to sex-trafficking ads on the internet. This program uses machine learning, artificial intelligence and predictive modeling to break down big data and identify patterns. According to Marinus Analytics founder, Emily Kennedy, "Anything that can be uploaded onto a computer can be searched." FaceSearch can scan through thousands of photos and determine if a potential target is identified in a sex-trafficking ad. Marinus Analytics has made this technology public so that any police service can use it. Kennedy says she is not concerned about misuse because FaceSearch is "so focused."

Facial Recognition for Law Enforcement
Facial recognition technology can be used to identify missing persons and match a child's face to sex-trafficking ads, creating opportunities for further development in law enforcement technology.
Machine Learning and Predictive Modeling
Using machine learning and predictive modeling to break down big data and identify patterns can help solve crimes in new and innovative ways.
Public Access to Innovative Technology
Marinus Analytics making their new facial recognition technology public to any police service creates new opportunities for innovative technology to be used in solving crimes.

Who This Affects Most

Law Enforcement
The use of facial recognition technology in law enforcement can provide a valuable tool for solving missing persons cases and identifying sex-trafficking victims.
Machine Learning
Advancements in machine learning and predictive modeling can be used to break down big data and identify patterns, potentially leading to new applications in a variety of industries.
Technology
Marinus Analytics making their new facial recognition technology public to any police service shows the potential for technology to play a significant role in solving crimes and helping law enforcement.
SCORE
3.0 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America, South America, Europe, Asia
GENERATION
  • Gen Z
  • Gen Alpha
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 24%
Activity 59%
Freshness 8%

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