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The new type of media now exists is facial recognition, ultimately what does this technology do is finding patterns. How this technology works: a computer takes an image and calculates the distance between major structural pieces, like your nose and eyes. It could also consider the width and curves of your face or the depth of your eye sockets. Then these measurements are converted to a numerical code called your “face print.” Once a computer knows your face print it looks in its database to find any matching codes.  Facial recognition was developed using 2D images since they can’t take depth into account. The 2D systems rely on the distances between your facial features or landmarks, but angles and lighting can cause bad readings. The distance between your eyes and your nose looks very different in a straight on images vs a profile picture. Some system addresses this issue by mapping a 2D image onto a 3D head and undoing the rotation. 3D cameras sense depth by projecting invisible light onto a face and using sensors to capture the distance of various points of that light from the camera itself. 3D images aren’t as easily fooled by angles but can still be defeated by different expressions or wearing glasses or growing facial hair. New tech called “skin texture analysis could help with that. It still measures the distance between landmarks, but the scale is much smaller. It can actually measure the distance between pores, skin texture.