So what actually happens between the machine and the dashboard? Imagine a vibration sensor attached to a motor. The sensor detects a vibration. But that's only the beginning. 👇 Sensor → MCU / PLC → Communication → Edge → Cloud → Dashboard At each stage, something different happens: 🔹 Sensor — captures the physical signal 🔹 MCU / PLC — reads and processes the data 🔹 Communication layer — moves the data 🔹 Edge — can filter, store, process or analyze it locally 🔹 Cloud — provides scalable storage and analytics 🔹 Dashboard — turns the data into something humans can understand And this is where Industrial IoT becomes interesting. The real engineering challenge isn't simply: “How do I connect a sensor to the internet?” It's: “Where should the data be processed, how should it move, and where should decisions happen?” ⚙️ I'm starting a new series exploring this journey — from Embedded Systems and MCUs to Communication, Edge Computing and Smart Factory Architecture. This is Part 1: From Sensor to Smart Factory. 👇 Which layer are you most interested in — Embedded, Communication, Edge or AI? Decoding Data Science Mohammad Arshad #IndustrialIoT #IIoT #EdgeComputing #SmartFactory #EmbeddedSystems #Industry40 #Automation #IoT #Engineering #ArtificialIntelligence