Griffeye Brain CSA Classifier is a forensics tool aims to detect and rescue children pictured in child sexual exploitation material.
The filtering techniques can detect skin tones — even in low light or poor-quality video — then map connecting regions containing skin tones to determine if a subject is nude.
This technique will be paired with systems that can extract facial features and perform spatial and textural analysis to determine if the face belongs to an adult or a child.
The system will automatically assess the body motions to determine whether the content is explicit. The AI scans through previously unseen footage and suggests images that it believes depicts child sexual abuse content. The AI outputs a score that can be used to tell whether a file is pertinent to the investigation or not.
More information on the software can be found here.
Slavery Footprint is a survey that asks and responds to the question, “How Many Slaves Work For You?”
The survey allows users to input select data about their consumer spending habits, which then outputs a graphical “footprint” of the user...Read More
The Global Center for Women and Justice launched the Ending Human Trafficking podcast in April 2011 and it has passed the 160 podcast milestone as of January 2018. Ending Human Trafficking (EHT) podcast episodes cover the full range of human traffic...Read More
The Fair Labor Association developed the ENABLE Training Toolkit to prepare sustainability managers, master trainers, and field-level practioners to apply components of the USDA Guidelines for Eliminating Child Labor and Forced Labor in Agricultura...Read More
The "FREEDOM!" app is a globally available human trafficking mobile application that empowers individual victims and communities to anonymously and safely report cases of human/child sex trafficking in 10 languages at three main levels: victims, tr...Read More