How intelligent transport systems process data locally for faster and smarter decision-making Transport monitoring systems are evolving rapidly. Modern vehicles and logistics platforms now generate huge amounts of real-time data from: GPS trackers Cameras Temperature sensors Fuel systems Driver monitoring devices Traditionally, all this data was sent to the cloud for processing. But that approach creates challenges: ❌ High latency ❌ Increased bandwidth usage ❌ Delayed decision-making ❌ Dependence on internet connectivity This is why many companies are moving toward Edge AI. Instead of sending every piece of data to the cloud, Edge AI allows devices to process and analyze data locally—directly on the vehicle or monitoring hardware. In this article, we’ll explore how Edge AI works in transport monitoring systems and how developers can implement it effectively. 🚀 What Is Edge AI?…