In this project we have extended the original gr-tempest (a.k.a. Van Eck Phreaking or simply TEMPEST; i.e. spying on a video display from its unintended electromagnetic emanations) by using deep learning to improve the quality of the spied images. See an illustrative diagram above. We are particularly interested in recovering the text present in the display, and we improve the Character Error Rate from 90% in the unmodified gr-tempest, to less than 30% using our module.

In addition to the source code, we are also open sourcing the whole dataset we used. Follow this dropbox link to download a ZIP file (~7GB).