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Using Nvidia Jetson Nano to run an AI classifier to prevent robot from entering blocked scenarios

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DL-Collision-Avoidance

Using Nvidia Jetson Nano to run an AI classifier to prevent robot from entering blocked scenarios

Copy of DSC01400 Photo Credit: Lasse Nordahl

This repository and project is derived from Nvidia's Jetson Nano Development Program

Nvidia Jetson Nano

The NVIDIA® Jetson Nano™ is a small computer that can run multiple neural networks in parallel. It can run efficiently with as little as 5 watts.

Hardware Specification
GPU 128-core Maxwell
CPU Quad-core ARM A57 @ 1.43 GHz
Memory 4 GB 64-bit LPDDR4 25.6 GB/s

Construction & Setup

  1. Bill of Materials
  2. Hardware Setup
  3. Software Setup

nano

Software

The software image is an Ubuntu 18.04 LTS image with the following dependencies:

  • Python 3 (including PIL)
  • Jupyter
  • Numpy
  • PyTorch
  • TensorFlow
  • Nodejs

software

Capabilities

Collision Avoidance

Collect Data

Screen Shot 2019-12-19 at 4 04 06 pm

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Using Nvidia Jetson Nano to run an AI classifier to prevent robot from entering blocked scenarios

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  • Jupyter Notebook 70.7%
  • Python 20.9%
  • C++ 6.4%
  • Shell 1.8%
  • CMake 0.2%