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.
This resource hub is intended to provide a central repository for resources on understanding the risk of modern slavery to business, modern slavery policy and legislation, and how this can be applied to the hotel industry.
child labour
T...Read More
Modern slavery is a global issue that requires a coordinated global response. This is the case both for the work to eradicate it in the long term, and in the immediate, to help individual survivors find freedom right now. The NGOs, multilateral inst...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
Business & Human Rights Resource Centre is an online repository of resources covering a broad range of issues, including child labour. The reosurce centre provides an overview of available online reosurces on the topci of child labour, ranging f...Read More