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.
An interactive map made available by ECPAT to inform children victims of sexual abuses about their rights and how to exercise them. In particular, the map consists of two separate sections: the picture below shows how through the map ECPAT t...Read More
We have updated our Interactive Map for Business of Anti-Human Trafficking Organisations (www.modernslaverymap.org). The Map currently includes 112 initiatives and organisations who are working on five human-trafficking-related issues (child labour,...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
Social Responsibility Resources is an online library which is aimed at collecting resourcing supporting social responsibility in the fisheries. The library collects tools which are displayed as shown in the preview below and is easy to access. ...Read More
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