Agus Kurniawan 
IoT Projects with NVIDIA Jetson Nano 
AI-Enabled Internet of Things Projects for Beginners

Explore the capabilities of the NVIDIA Jetson Nano, an Io T device designed to perform computations like a computer desktop. This book will show you how to build your first project and optimize your devices, programs, and daily activities with the AI computation abilities of the Jetson Nano. 





This board consists of CPU Quad-core ARM A57 @ 1.43 GHz and GPU 128-core Maxwell. With this hardware specification, the board can run multiple neural networks in parallel for complex AI applications. With the integrated sensor and actuators, this board enables stronger Io T solutions and provides more advanced capabilities.








Discover how develop complex Io T projects with the Jetson Nano today.








What You’ll Learn

• Set up NVIDIA Jetson Nano device


• Build applications like image classification, object detection, segmentation, and speech processing


• Use the Jetson Nano to process daily computer activities such as browsing the internet, checking emails, or playing music and videos


• Implement machine learning computations into your projects

Who This Book Is For






Makers, developers, students, and professional of all levels who are new to the NVIDIA Jetson Nano technology.

Table des matières

Chapter 1: Introduction to NVIDIA Jetson Nano.- Chapter 2: Setting Up and Running.- Chapter 3: Administering NVIDIA Jetson Nano.- Chapter 4: NVIDIA Jetson Nano Programming.- Chapter 5: NVIDIA Jetson Nano I/O Programming.- Chapter 6: NVIDIA Jetson Nano Camere.- Chapter 7: Deep Learning Computation.

A propos de l’auteur

Agus Kurniawan is a lecturer, IT consultant, and author. He has 15 years of experience in various software and hardware development projects, delivering materials in training and workshops, and technical writing. He has been awarded the Microsoft Most Valuable Professional (MVP) award 16 years in a row.




Agus is a lecturer and researcher in the field of networking and security systems at the Faculty of Computer Science, Universitas Indonesia, Indonesia.He can be reached on his Linkedin at @agusk and Twitter at @agusk2010.