Abstract:
Safety and comfort in using public facilities, especially public toilets, are
crucial because the needs of each gender, male and female, are different in using the
public toilet. Because of this issue, a face gender classification system was developed
to detect the faces of user candidates before entering a public toilet. Public toilet users
must match the gender of the toilet so that the public toilet is safe and comfortable to
use. The Convolutional Neural Networks (CNN) algorithm is proposed to solve the
problem by implementing this algorithm for the face gender recognition system to
detect toilet users' face gender. The face gender recognition system will be
implemented in the public toilet door through Arduino Uno as the microcontroller.
The Arduino Uno is connected to a web camera to detect the user candidate's face and
the motor servo controls the door movement whether or not the user is allowed to
enter the toilet. This final project case will implement a female public toilet so that
only female users are allowed to enter the toilet.
