About the Book
Go beyond Linux, sensors, vision, and edge AI to build cloud-connected Raspberry Pi IoT systems, using MQTT and AI-agent workflows to create practical intelligent applications
Key Features
Build a strong foundation in Raspberry Pi, embedded Linux, C/C++, and Python development
Control sensors, peripherals, cameras, and GPIO interfaces for practical embedded projects
Develop intelligent IoT apps using OpenCV, edge ML, MQTT, and AI agents
Book DescriptionRaspberry Pi has grown from an affordable educational computer into a flexible platform for embedded development, IoT systems, computer vision, and edge AI. This book shows you how to use Raspberry Pi to build practical, intelligent, and cloud-connected applications from the ground up.
Starting with Raspberry Pi hardware and embedded system fundamentals, you will learn how Raspberry Pi OS and Linux support real-world embedded development. You will set up and configure the system, work with boot and remote access options, and develop applications using C/C++ and Python. The book then moves into hands-on hardware interaction, showing how to control GPIO pins, sensors, peripherals, and cameras for practical embedded projects.
As you progress, you will explore machine vision with OpenCV, deploy edge-side machine learning models using LiteRT, and connect Raspberry Pi applications to the cloud using MQTT. The final project brings these skills together in an intelligent flower monitoring system that combines sensors, image capture, IoT communication, cloud control, and an AI-agent workflow.
By the end of this book, you will be able to design, build, and extend Raspberry Pi-based embedded IoT systems that combine hardware control, Linux programming, edge intelligence, and cloud integration.What you will learn
Understand Raspberry Pi hardware and embedded system concepts
Set up, configure, and manage Raspberry Pi OS
Compile and debug C/C++ programs on Raspberry Pi
Develop Python applications for hardware interaction
Control GPIO, sensors, peripherals, and cameras
Process images and video using OpenCV
Deploy edge machine learning models with LiteRT
Build MQTT-based cloud-connected intelligent IoT projects
Who this book is forThis book is for IoT developers, embedded systems engineers, software developers, Linux users, and Python or C/C++ programmers who want to build Raspberry Pi-based embedded and intelligent IoT applications. It is also suitable for students and makers looking to move beyond basic Raspberry Pi projects into sensors, peripherals, computer vision, edge machine learning, MQTT-based cloud communication, and AI-enabled IoT systems. Basic programming knowledge is helpful, but no prior Raspberry Pi or embedded Linux experience is required.
Table of Contents:
Table of Contents- Introducing Raspberry Pi for Embedded Systems
- Overview of the Linux Operating System
- Using and Configuring Raspberry Pi
- Compilation and Debugging of Raspberry Pi C/C++ Programs
- Raspberry Pi Embedded System Development
- Raspberry Pi Python Programming
- Raspberry Pi Sensor and Peripheral Control
- Applications of Machine Vision on Raspberry Pi
- Edge-Side Machine Learning Applications
- Comprehensive Practice in RPi IoT Application Development
About the Author :
Zheng Lingxiang is a senior engineer and researcher at Xiamen University, where he specializes in embedded systems. He received his doctorate from Xiamen University in 2010 and has published research in sensing, embedded systems, and mobile technologies. Feng Chao is also affiliated with Xiamen University, with research spanning medical embedded systems and image processing. Together, the authors bring a combined teaching and research perspective to Raspberry Pi, embedded Linux, IoT, computer vision, and intelligent edge applications. Feng Chao is a Senior Engineer at the School of Informatics, Xiamen University, where he focuses on IoT systems and security. He has led and contributed to multiple research projects and has supervised undergraduate and postgraduate students in award-winning technology and innovation competitions. His work has been recognized with science and technology progress awards from Xiamen and Fujian, as well as teaching and student innovation mentoring awards from Xiamen University. Zhang Qi holds a master's degree in Artificial Intelligence from Xiamen University, with a focus on technologies that combine software and hardware. His work spans embedded systems, IoT, and large model-enabled hardware development. He has received national awards in embedded chip and IoT design competitions, and has also served as a Huawei Cloud Campus Ambassador, where he helped build technical exchange platforms and authored several technical articles. During his master's studies, he led the design and development of multiple intelligent hardware products.
