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Automated Human Image Detection and Authentication Continuation
Note:
This awardee has received supplemental funding. This award detail page includes information about both the original award and supplemental awards.
This project will to continue development of a software tool to assist computer forensic analysts in searching for images of humans, such as victims of child pornography. The current state-of-the- art requires that a computer forensic analyst sift through the potentially hundreds of thousands of images found on a computer. The proposed technology will automate that process. It is also intended to provide the capability to detect child pornography automatically in video, which is an increasingly prominent form of distribution.
ca/ncf
This project has produced RedLight, a software tool that can quickly scan a computer for porn. It has been released free to law enforcement. It has been shown to be effective at automatically detecting likely pornography in both images and video files and marking those files for subsequent investigation. The proposed effort will focus on two objectives. The first is continued development of child detection software with a refined technique to addresses the imprecision the applicant has found when trying to extract child features from images. The second is to repackage RedLight so that it can act as a triage tool during investigation as well as a forensic tool.
