  This is a study on facial information analysis technology for estimating
gender and age, and poses are estimated using a transformation relationship
matrix between the camera coordinate system and the world coordinate system for
estimating the pose of a face image. Gender classification was relatively
simple compared to age estimation, and age estimation was made possible using
deep learning-based facial recognition technology. A comparative CNN was
proposed to calculate the experimental results using the purchased database and
the public database, and deep learning-based gender classification and age
estimation performed at a significant level and was more robust to
environmental changes compared to the existing machine learning techniques.
