One common IoT project requirement is the need to detect the presence of something in an image. For example, a security system might need to detect potential intruders, a wildlife monitoring system might need to detect animals, or a facial recognition system might need to detect, well, faces. The issue of detecting things in images, or image classification, has historically been an advanced task, requiring a deep understanding of how both machine learning and a variety of mathematical processes work. The good news is that over the last few years a series of tools has made the image classification process far more approachable for the average developer. In this article, you'll learn how to build your first image classifier with Edge Impulse, and how to deploy that image classifier to a Raspberry Pi.