This is a really interesting question, and makes me wonder how robust the patch is to scaling, different lighting, etc. This also reminds me of using makeup an

This is a really interesting question, and makes me wonder how robust the patch is to scaling, different lighting, etc. This also reminds me of using makeup and hair to prevent automatic facial recognition. I believe this is the project: https://cvdazzle.com/ https://cvdazzle.com/ > The name is derived from a type of World War I naval camouflage called Dazzle, which used cubist-inspired designs to break apart the visual continuity of a battleship and conceal its orientation and size. Likewise, CV Dazzle uses avant-garde hairstyling and makeup designs to break apart the continuity of a face. Since facial-recognition algorithms rely on the identification and spatial relationship of key facial features, like symmetry and tonal contours, one can block detection by creating an “anti-face”.