Azure AI Engineer Associate (AI-102) Study Guide

Chapter 5. Implementing Computer Vision Solutions with Azure AI

Computer vision isn’t just about teaching machines to see; it’s about rewriting the rules of how industries operate. Take your local supermarket: in November 2021, Carrefour launched its Flash 10/10 pilot in Paris to leverage AiFi’s camera-only computer vision platform—which consists of ceiling-mounted cameras and AI-driven tracking—to let customers grab items and simply walk out while purchases are automatically tallied and charged. This tech isn’t limited to groceries. Imagine a hospital where AI scans thousands of X-rays overnight, flagging subtle fractures radiologists might miss during a hectic morning shift. From spotting potholes in real time for city maintenance trucks to helping filmmakers animate lifelike CGI characters, computer vision acts as the unsung hero, transforming raw pixels into decisions that save time, money, and even lives.

Next, let’s zoom in on cars. Modern vehicles are packed with cameras that do more than just help with parallel parking. Systems like Tesla’s Autopilot analyze lane markings and pedestrians with the precision of a hyper-caffeinated copilot, and they make split-second adjustments to keep drivers safe. But here’s the catch: building these systems requires more than just clever algorithms. On Azure, tools like AI Custom Vision let engineers train models to recognize everything from stop signs that are obscured by fog to debris on highways, while Video Indexer extracts metadata ...