Our Child Sexual Abuse Material (CSAM) detection module, developed in collaboration with law enforcement agencies, is designed to identify illegal pornographic content. While traditional methods relied on checksum database technology to detect known CSAM images, our AI-based module can identify and highlight previously unseen material in images and video.
It does not rely on error-prone facial age estimation technology and therefore does not require a face to be present in the image.
This advancement allows investigators to swiftly identify newly generated material and potentially uncover new victims.
