Edge computing has transformed how we process and respond to data. By taking compute capability to the point of data, such as cameras, sensors, and machines, businesses can make decisions faster, reduce latency, save on bandwidth, and enhance privacy. AWS empowers this revolution with a set of edge-capable services, most notably AWS IoT Greengrass.

In this article, we’ll give an example of how to run a machine learning model (YOLOv5) on an edge device via AWS IoT Greengrass v2 to identify objects in real-time within a retail setting. This is a fault-tolerant and scalable solution appropriate for an intermittently cloud-connected environment. Let’s look at a Retail Store Video Analytics on the Edge.