Developing automated methods to detect and match face and voice biometrics in child sexual abuse videos
The proliferation of child sexual abuse material (CSAM) is outpacing law enforcement’s ability to address the problem. In response, investigators are increasingly integrating automated software tools into their investigations. These tools can detect or locate files containing CSAM, and extract information contained within these files to identify both victims and offenders. Software tools using biometric systems have shown promise in this area but are limited in their utility due to a reliance on a single […]