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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The Project Arachnid platform was initially designed to crawl links on sites previously reported to Cybertip.ca that contained CSAM and detect where these images/videos are being made publicly available. Once child sexual abuse material is detec...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
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
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