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
The Accountability Hub (https://accountabilityhub.org/) aims to improve both government and corporate accountability for human trafficking, forced labour and slavery in national and global business supply chains. The Hub does this by generating a...Read More
Content Safety API is a free toolkit developed by Google to help increase the capacity to review child sexual abuse material (CSAM) content in a way that requires fewer people to be exposed to it. By using deep neural networks for image pro...Read More
A tool to enable people across the world to join the fight against human trafficking and modern slavery. child labour More information on the app can be found here. ...Read More
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