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Description
Smart AI-Lens Hardware Prototyping with Micro:bit: Designing Interactive and Engaging Smart Devices is a practical, hands-on guide for learners, teachers, and makers who want to bring artificial intelligence into real-world projects. Using two affordable tools the BBC micro:bit microcontroller and the Smart AI-Lens vision camera readers learn to create functional AI prototypes without expensive hardware or advanced programming experience.
The book simplifies AI hardware prototyping through clear, practical steps. The Smart AI-Lens, equipped with a neural processor unit such as the Kendryte K210, performs recognition tasks including face detection, object tracking, and color identification. The micro:bit then uses the AI-Lens output to make decisions and trigger actions such as moving motors, sounding alarms, or displaying information. By separating recognition from control, readers explore how edge-AI devices are structured to sense, decide, and act.
As AI becomes part of smart gadgets, robots, and Internet of Things (IoT) devices, this book offers a hands-on alternative to resources focused mainly on software or theory. Step-by-step projects help readers connect AI concepts with working hardware prototypes. Suitable for STEM classrooms, makerspaces, and independent learning, the book makes AI hardware prototyping approachable, engaging, and achievable for beginners and early intermediate learners.
What You'll Learn
Prototype AI hardware devices using affordable tools, including the BBC micro:bit and Smart AI-Lens.
Understand how AI vision sensors and microcontrollers divide recognition, decision-making, and control tasks.
Build practical AI projects such as smart alarms, robot cars, automated sorters, and connected devices.
Connect AI concepts with hands-on experience by designing systems that sense, decide, and act.
Explore AI hardware applications for STEM education, makerspaces, self-learning, and future innovation.
Who Is This Book For
This book is written for learners, educators, hobbyists, and makers interested in practical, low-cost AI hardware projects. No prior experience with AI, computer vision, or machine learning is required. Familiarity with the BBC micro:bit or basic electronics may be helpful but is not essential.
Part I: Foundations of AI Hardware Prototyping.- Chapter 1: Introduction to AI Hardware Devices.- Chapter 2: The BBC Micro:bit Platform.- Chapter 3: Smart AI-Lens Basics.- Chapter 4: Setting Up Your Development Environment.- Chapter 5: Your First AI Prototype.- Part II: Hands-On AI Hardware Projects.- Chapter 6: Smart Security Alarm.- Chapter 7: AI-Controlled Robot Car.- Chapter 8: Object Sorting Robot.- Chapter 9: AI-Enabled IoT Device.- Chapter 10: Classroom Applications and Future Trends.
Dr. Don Wilcher, an Electrical Engineer, is an Associate Certified Electronics Technician (CETa), a Technical/Engineering Education Researcher, Maker, Emerging Technology Lecturer, Technical Writer, and Book Author. He is an Assistant Professor of Electrical and Computer Engineering at The University of Alabama in Birmingham. He researches Machine Learning and Artificial Intelligence applications and their impact on Personalized Learning, Competency-Based Models curriculum, and instructional development in the fields of Analog Integrated Electronics, Mechatronics, Automation, IoT, Electronics, Embedded Systems, and Robotics. He is the Co-Founder and Co-Owner of MaDon Research LLC, an engineering technology consulting and technical communication business serving Electronics Marketing Media, Technical, and Engineering Education companies.
