NVIDIA Jetson Nano Developer Kit - B01 Edition with Dual CSI Lanes

Here at DIYElectronics, although we certainly love to fiddle and tinker with Electronics, sometimes we also like to go a bit deeper into the coding side, as hardware can only take projects so far before needing some software to take it further. This is why we have been making a concerted effort to bring in exciting new software-based electronics, with this NVIDIA Jetson Nano Developer Kit – The AI Computer Designed for Learning & Making – being one of the most exciting AI/IoT products that we’ve ever had the pleasure of carrying.

This awesome AI & Deep Learning Development Board is designed by the world-famous NVIDIA corporation, the inventors of the world’s first GPU, but instead of focussing on graphics like the graphics cards that many of us have in our personal computers, the NVIDIA Jetson Nano utilises the extremely capable GPU for parallel computing instead. This allows Makers to simultaneously Learn about AND Make AI and Machine Learning, with an absolute mountain-load of support and open-source software that is all meant to help both newbies and veterans in mastering the AI world. In fact, NVIDIA have done such an impressive job at providing support and resources for this platform that they have a comprehensive “Two Days to a Demo” Tutorial Project that anyone can utilise to create an entire deep learning project from absolute scratch, in as little as two days depending on how quickly you can grasp the concepts.

In terms of the actual functionality of the NVIDIA Jetson Nano, this board is capable of so much more than any Arduino or Raspberry Pi, with a core focus on AI Development, parallel computing and various machine learning processes like simulation generation, object identification and classification, as well as segmentation. This makes it an ideal board for learning all the in’s and out’s of machine learning, while also being able to cater to professional applications too – allowing you to learn, create, enhance, and then start the cycle over once again as you develop your skills and ultimately master the world of AI Frameworks and Deep Learning.

What’s New on the NVIDIA Jetson Nano B01 Edition?

If you don’t yet know how amazing the NVIDIA Jetson Nano is, then to start, you should definitely take a quick look through the original NVIDIA Jetson Nano Development Kit Page, as it offers a brief rundown of all of the key features of the powerful yet compact AI Dev’ Board. This is because this new B01 Edition is designed to almost the exact same specification, but has been upgraded now with an extremely handy secondary MIPI CSI connector for an additional camera. This opens up cool new possibilities for binocular (or stereoscopic) video input, allowing you to utilise 3D imaging in one direction, or to create extremely wide-angle vision at up to 360 degrees for even more monitoring, tracking and overall visual input. And while some may question just how valuable this upgrade is, there will certainly be some who understand that this “Minor New Feature” is a huge leap forward for a range of cool applications.

Please Note: While experimenting with one of the amazing boards, we found that it was best practice to plug all of the peripherals, displays and other extras in before plugging in the power. This is because the NVIDIA Jetson Nano automatically boots up once power is plugged in, and if some peripherals aren’t connected during startup, they may not behave like you expect.

Additional Resources:

• If you’re really eager to dive deep into the technical specifications, benchmarks and more in-depth details about this board, check out this NVIDIA Jetson Nano Dev’ Blog, which offers insights into almost anything you might need to know about this beautiful little computer.
  
  
• Once you’ve gathered all of those juicy details, this next link is a “Two Days to a Demo” GitHub Page, which is a tutorial project designed to help you get a good grasp of machine learning, so that you can ideally deploy your first machine learning project in two days or less.
  
  
• This next link is for those who already know what they’re doing, or for those who have completed the tutorial project in the previous link, and is the primary NVIDIA AI IoT GitHub Page, which is a true treasure trove of awesome resources, tools and more.
  
  
• Finally, this is the Waveshare NVIDIA Jetson Nano Wiki Page, which offers even more links to great resources, forums and repositories, as well as links to further courses and development as well.

When it comes to producing unique electronics components and modules, there are very few brands that can provide the quality that Waveshare can. Based in the Futian District in Shenzhen, China, Waveshare are experts in developing electronics to a high standard of quality, which have been thoroughly tested to work seamlessly with corresponding development platforms and systems – such as the E-Ink HATs for Raspberry Pi’s.

What we love most about Waveshare is how they are dedicated to providing quality products, and have moved away from the typical “Made in China” stigma – cheap products with cheap parts and components. Instead, Waveshare understand the value of supplying quality products and building sustainable relationships with international resellers and distributors. They know that consistent quality will result in consistent business, and as such they always ensure strict quality control for each and every product that comes out of the manufacturing plant.

We are always excited to peruse through their vast catalogue of exciting new products to find unique modules, components or even entire development boards that are designed with quality in mind. Because we know that every cent that we spend with Waveshare will be well-spent, with each product that order adding real value to our own catalogue of products.