Age Analysis with Convolutional Neural Networks

The use of facial recognition technologies is increasingly present in everyday life and more widespread in many information systems. This type of technology can be found in authentication methods, access systems, photo editing software and different security mechanisms or surveillance cameras, among others. The large amount of image-related data currently being handled has made it possible to train artificial neural structures based on Machine Learning capable of obtaining all kinds of characteristics from a person's image, such as age, skin color or gender. The aim of this work is to use neural techniques that consistently trained allow us to obtain a model to determine the age of a person from the image of his or her photograph. The results obtained show a very high accuracy rate, so that the applicability of the model is possible in different scenarios.