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.
Global Kids Online is an international research project that aims to generate and sustain a rigorous cross-national evidence base around children’s use of the internet by creating a global network of researchers and experts. The library of...Read More
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
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
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
2025 © Copyright, RESPECT International. All Rights Reserved. Website Disclaimer | Privacy Policy
