Building intelligent transport systems that can think, react, and analyze data locally in real time Transport monitoring has changed dramatically over the last few years. Earlier systems mainly focused on: GPS tracking Basic sensor monitoring Cloud-based analytics But modern logistics and transport operations now demand something faster and smarter. Today’s systems need to: Detect problems instantly Operate in remote areas Reduce latency Work even without stable internet This is where Edge AI becomes a game changer. Instead of sending all sensor data to the cloud for analysis, Edge AI processes data directly on the monitoring device itself. 👉 The result? Faster decisions, lower bandwidth usage, and more intelligent transport systems. In this article, we’ll explore how Edge AI works in transport monitoring devices and how developers can implement it effectively in real-world systems. 🚀 What Is Edge AI?…