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What Is NVIDIA Jetson Nano and How It Jump-Starts AI Robo Projects?

Artificial Intelligence applications are converging with technologies built for autonomous locomotion machines, Connected devices, and Video surveillance tools. Leading tech provider, NVIDIA continues to make rapid strides in helping Engineers, Students and Cloud Computing instructors scale new heights in AI tool kit applications. The NVIDIA Jetson Nano is a great example of this convergence of various advanced technologies and engineering concepts.

The Jetson Nano kit is helping robotic engineers to build simple, low-cost AI systems at an unprecedented speed. NVIDIA Jetson Nano is one of the smallest AI-driven, embedded IoT applications. It is a System on Module (SOM) that delivers connected AI capabilities to devices at “the Edge across multiple industries—from smart cities to robotics to IV Sensors.”

The NVIDIA Jetson Nano starter kit consists of 4x USB 3.0, USB 2.0 Micro-B, MIPI CSI-2 DPHY lanes and HDMI 2.0 and eDP 1.4 display unit.

NVIDIA Jetson Nano enables the development of millions of new small, low-power AI systems. It opens new worlds of embedded IoT applications, including entry-level Network Video Recorders (NVRs) is fully compatible with the home robots, and intelligent gateways embedded with full analytics capabilities. It supports multiple sensors and neural networks fitted in sync for object recognition, image processing, anti-collision maneuvering and much more.

Dmitri Villevald
Image source: Dmitri Villevald, via NVIDIA Developer Page

Currently, NVIDIA Jetson Nano is fitted to JetBot AI robot platforms and kits such as –

  • SparkFun JetBot AI Robot Kit
  • Waveshare JetBot AI Kit
  • Silicon Highway Nano JetBot Kit
  • Seeed JetBot Smart Car Kit
  • FaBo JetBot
  • GPUS JetBot

Applications of Jetson Nano 

Apart from the obvious application in Autonomous Vehicles (AVs) and robotics, NVIDIA Jetson Nano can be put to use as a real-world application of automatic speech recognition, object classification, and geo-mapping. There are countless experiments and university competitions that are demonstrating the futuristic application of NVIDIA Jetson Nano. IoT, Sensor and AI Robo engineers could leverage this easy to deploy AI Robo kit to build smart technologies using open source guidelines and collaboration over NVIDIA communities.

Last month, NVIDIA had announced the launch of the NVIDIA EGX Edge Supercomputing Platform. NVIDIA EGX Edge Supercomputing Platform is a high-performance, Cloud-native platform that lets organizations harness rapidly streaming data from factory floors, manufacturing inspection lines, and city streets to securely deliver next-generation AI, IoT, and 5G-based services at scale, with low latency. It remains to be seen how Jetson Nano could be linked to the Supercomputing platform to improve overall factory shopfloor experience. NVIDIA has already partnered with leading companies such as Walmart, BMW, Procter & Gamble, Samsung Electronics and NTT East, as well as the cities of San Francisco and Las Vegas.

BMW provides a unique user case scenario using NVIDIA. The German automaker is using intelligent Video analytics in its South Carolina manufacturing facility to automate inspection. With EGX gathering data from multiple cameras and other sensors in inspection lines, BMW is helping ensure only the highest quality automobiles leave the factory floor.

The NVIDIA Jetson Nano toolkit could seal the fate for companies that are willing to leap forward with gaming, AI Robots, and IV/AVs – a new era of autonomous surveillance is coming through very soon.

Read More: Ericsson and NVIDIA Collaborate to Accelerate Virtualized 5G Radio Access Networks with GPUs

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