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.
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This tracker and the underlying analysis are provided by the Worker Rights Consortium (WRC) in association with the Center for Global Workers’ Rights (CGWR) at Pennsylvania State University.
This online tracker analyses the response made by di...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
An interactive map made available by ECPAT to inform children victims of sexual abuses about their rights and how to exercise them.
In particular, the map consists of two separate sections:
the picture below shows how through the map ECPAT t...Read More