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.
Delta 8.7 is a global knowledge platform exploring what works to eradicate forced labour, modern slavery, human trafficking and child labour, an aim set out in Target 8.7 of the UN Sustainable Development Goals.
On any given day in 2016, the latest y...Read More
Most of us would agree that we should take action against forced labour, modern slavery and human trafficking. The Sustainable Development Goals (SDGs) refer to eradicating forced labour and ending modern slavery and human trafficking (SDG Target 8....Read More
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
This document is not a comprehensive resource on child protection policies, but rather provides a solid introduction on developing a policy for your organization. Organizations, staff, volunteers, and visitors must be fully aware that child abuse ca...Read More