A model that
serves as the foremost analytic model for the child crimes investigation domain increasing interoperability between investigation tools.
Created by our technology partner Microsoft® that creates a digital signature of images (or a “fingerprint”) which can be matched against a database of known child sexual assault images.
A machine learning technology that identifies features within an image, such as, age, gender, body parts, and actions, that may indicate the presence of child abuse material.
A machine learning technology that analyzes the name and location data for all files on a computer to predict if the file may be child abuse material.
A suite of technologies and victim-centric training created to establish a new national or regional child sexual abuse investigation team. Partnering with End Violence Against Children.
A prototype technology that identifies logos in images. Project VIC continues iterate on this technology and will host updates for evaluation by our partners.
Many technologists around the world create technologies with the intent of those technologies being used by law enforcement to find and rescue children from sexual abuse. One of the primary issues is that law enforcement officers find it nearly impossible to take on all of the many technologies that are created. This is where Project VIC shines. We develop our own technologies and we work with many technologists from companies, governments, and the research community to develop and evaluate future technologies.
Want your tool to be used by law enforcement? It is best to get it into a pipeline with other tools that are then integrated into the popular commercial and open source platforms used by those law enforcement officers. We can help you with that.
What are we looking for:
Project VIC International is here to assist in any way we can to help law enforcement find and rescue children from sexual exploitation.Contact us
We welcome new technology partners who want to contribute their technologies to the Project VIC ecosystem.