An electronic
bidet system that uses one or more internal cameras to capture one or more images or video of a user as he or she sits on the
bidet prior to use. The images or video are analyzed using object recognition technology to identify and segment / bound the types, sizes, shapes, and positions of the
lower body orifices, and conditions (e.g.
hemorrhoids), in the user's genital and rectal areas. Based on these analyzed images or video, the
system automatically adjusts the
bidet settings for the specific conditions (e.g.
hemorrhoids) and types of orifices, locations of orifices, sizes of orifices, shapes of orifices, gender,
body type, and weight of the user.