Internet Video Traffic will grow fourfold from 2015 to 2020. With this explosion of visual data, it is critical to find effective methods for sorting, classifying, and identifying imagery.

Convolutional neural networks (CNN’s), a machine learning methodology based on the function of the human brain, are commonly used to analyse images.

Software separates the image into sections, often overlapping, and then analyses them to form an overall map of the visual space.

This process involves several complex mathematical steps to analyse, compare, and identify the image with a low error rate.