Missing Child Identification using Convolutional Neural Network

Abstract

The goal of this study is to locate missing children from a big dataset of child photographs using a novel application of deep learning algorithms. The method makes use of facial recognition to precisely identify a missing child from a dataset of missing child photographs and trains a deep learning model to do so. Convolutional Neural Network (CNN), a potent approach for image-based applications, is the method used.