This visual report presents the main findings of a six-year research project that asked how everyday machine vision affects the way ordinary people understand themselves and their world. We approached this from two main angles: analyses of art, games and narratives about machine vision, and ethnographic research on how people use, promote and respond to machine vision in everyday life. Our research shows that machine vision is more than a technology. It is actively imagined, contextually situated, and historically complex. Machine vision is not only about seeing – it does things, and it is biased at every level. Despite dystopic stories where machine vision is used to oppress humans, but we also see that machine vision is constantly negotiated, opening up a potential for change.