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.
The link between commodities and some of the worst forms of labor abuse in the global economy is coming under increasing scrutiny from stakeholders around the world. Several global campaigns seek to raise public awareness about goods produced under ...Read More
This app allows the user to take pictures of a hotel room and record the city and room number of the hotel.
This is important because much of the sex trafficking that happens in the U.S. happens in hotel rooms and many of the ads posted contain...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
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
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