Age Range Classification Through Facial Recognition Using Keras Model

This study focuses on the development of an age range classification through facial recognition and Keras Model using a Raspberry Pi Camera. Keras Model and a convolutional neural network will be implemented to help the age range classification. Raspberry Pi 4 will be incorporated as the microprocessor that the device will use and process the deep learning through this study. The Raspberry Pi Camera v2 is used as the camera sensor that will take faces as input to classify the age range of a subject. Both the Raspberry Pi 4 and camera module will be used to detect a person’s face in real-time and predict the age range of the subject to which the researchers were able to build an age range classification through facial recognition using the Keras Model. The researchers were able to acquire an accuracy of 84.38% upon using Keras Model and convolutional neural network.