Real-Time Edge Mastery: STM32 FreeRTOS Projects for AI-Powered Devices

Learn how to create fast, intelligent, real-time systems using STM32 and FreeRTOS, even if you are just getting started with embedded development.Modern devices must respond quickly, handle precise timing, manage multiple tasks, and run locally without constant internet access. Real-Time Edge Mastery gives you the practical tools to build systems that meet these demands on the widely trusted STM32 platform.Through step-by-step projects, you will learn how to use FreeRTOS to organize firmware, handle concurrency, and create predictable timing behavior. You will also learn how to deploy lightweight neural networks using CMSIS-NN, TensorFlow Lite Micro, and Cube.AI, which allows your device to make intelligent decisions right at the edge.Inside this book you will learn how to:Build responsive real-time applications using FreeRTOSWork confidently with tasks, queues, semaphores, event groups, interrupts, and DMAConfigure STM32 peripherals for sensing, timing, control, and communicationRun compact AI models directly on STM32 microcontrollersBuild real projects such as gesture recognition, anomaly detection, audio classification, and smart sensingManage power, optimize code, and design stable multitasking systems for real environmentsApply techniques used by professionals who develop modern embedded productsWho this book is for:Students, hobbyists, embedded engineers, IoT builders, robotics developers, and anyone interested in creating powerful, real-time devices that think for themselves.Whether this is your starting point or the next step in your embedded journey, this guide gives you the skills to design and build reliable edge intelligence that works in the real world.Begin your path to real-time mastery today. Read more