Computer Vision for OSINT Research
VFRAME researches and develops state-of-the-art computer vision technologies for application to human rights research and conflict zone monitoring. VFRAME works with Mnemonic.org to guide the development process of each new technology.
Our latest results in generating and training with high-fidelity synthetic image data show compelling performance at over 90% detection accuracy running at 400 FPS on a single GPU desktop. Case study / white paper estimated to be published in Q4 2021.
Human rights researchers often rely on videos shared online to document war crimes, atrocities, and human rights violations. Manually reviewing these videos is expensive, does not scale, and can cause vicarious trauma. As an increasing number of videos are posted, a new approach is needed to understand these large datasets.
VFRAME has been working with Mnemonig.org, a Berlin-based organization dedicated to documenting war crimes and human rights violations, to develop computer vision tools to address these challenges.
Specifically, VFRAME has been developing a scalable computer vision system for large-scale analysis of video archives to detect illegal munitions, and redaction tools to blur faces. VFRAME can detect objects, such as the RBK-250 munition found in videos from the Syrian conflict, with over 90% accuracy at over 400 FPS on a single desktop.
Read more about who we are and what we do.