I think the development of face recognition techniques is interesting. The techniques involve three major sections: detection, recognition, and tracking, which allows the camera to recognize the existence of faces, distinguish the face between other faces, and keep track of the movement that is being made by that specific face. Although this technique is used in the security system for detecting the faces of the criminals, the cameras still contain some bugs, such as humans that have similar face features will be determined as the same person. According to Last Week Tonight, the police have used the face of a celebrity to detect the criminal successfully.
One thing that brought my attention to was the incapability of detecting females who have darker skins. In Joy Buolamwini’s Ted Talk, she talked about how she found the problem of cameras being unable to recognize the faces of dark women’s faces as faces when she was in undergraduate school. Surprisingly, this problem is still not being solved after she was a graduate student in MIT, and this problem might not even be considered as an urgent problem that needs to be solved. During the talk, Buolamwini also talked about how the camera detected the appearance of a face after she put a white face mask on her face. I think that is ironic and discriminatory in some way, because the system has decided a face-like, light colored object looks more like an actual human face than a real human face.