Agus Kurniawan - IoT Projects with NVIDIA Jetson Nano: AI-Enabled Internet of Things Projects for Beginners
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Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/978-1-4842-6451-5 . For more detailed information, please visit http://www.apress.com/source-code .
is a lecturer, IT consultant, and author. He has fifteen 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 fifteen 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. Currently, he is pursuing a PhD in computer science at the Freie Universitt in Berlin, Germany. He can be reached on Twitter at @agusk2010.
is an embedded systems engineer working for an industrial gases company in Buffalo, New York. His interests, deeply rooted in DIY and open source hardware, include developing gadgets that aid behavior modification. He has published two books with his brother, and in his spare time he likes to contribute to building things that improve quality of life. You can find his project portfolio at http://saiyamanoor.com .
NVIDIA Jetson Nano is an NVIDIA product that can implement IoT solutions with the power of GPU computation. This board has GPIO pins and a GPU core to help developers, makers, and IT users build programs easily. In this chapter, we will get a brief introduction to NVIDIA Jetson Nano.
Introduction to NVIDIA Jetson Nano
Exploration of technical specifications of NVIDIA Jetson Nano
Exploration of NVIDIA Jetson Nanos functionalities
The Nvidia Jetson Nano was announced as a development system in mid-March of 2019. This product is intended for Internet of Things (IoT) makers. The board consists of a CPU with 1.43 GHz and a GPU with 128 cores of the Maxwell generation.
NVIDIA Jetson Nano A02
NVIDIA Jetson Nano B01
NVIDIA Jetson Nano Features
Feature | Information |
|---|---|
GPU | 128-core Maxwell |
CPU | Quad-core ARM A57 @ 1.43 GHz |
Memory | 4 GB 64-bit LPDDR4 25.6 GB/s |
Storage | microSD |
Video Encode | 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) |
Video Decode | 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265) |
Camera | 2x MIPI CSI-2 DPHY lanes |
Connectivity | Gigabit Ethernet, M.2 Key E |
Display | HDMI and display port |
USB | 4x USB 3.0, USB 2.0 Micro-B |
I/O | GPIO, I2C, I2S, SPI, UART |
Mechanical | 69 mm x 45 mm, 260-pin edge connector |
To obtain an NVIDIA Jetson Nano board, you can visit the official website at https://developer.nvidia.com/buy-jetson?product=jetson_nano . You can see NVIDIA distributors that sell NVIDIA Jetson Nano.
You can also obtain this board at your local electronic store. You could probably find it on online stores such as SparkFun or SeeedStudio.
NVIDIA Jetson Nano is designed for general purposes to address computer problems. Lets see what we can do.
We can say the NVIDIA Jetson Nano is a computer of small size. Since NVIDIA Jetson Nano is a computer, we can treat it as an everyday computer. We can browse the internet to look for information.
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