Demo

ZED Explorer

ZED Depth Viewer demo

Jetson TX1 Install

ZED SDK Install

ZED Explore Demo

It also saves camera video and audio to file

The second Jetson receives the RTSP stream

Camera image is captured 1920@1080 native H.264

Previews on monitor 1280@720

after traversing 1.0Gbs network, decode & display

Examining Camera Capabilities with v4l2-ctl

A GUI interface for v4l2-ctl with camera previews!

Controlling Camera Parameters with v4l2-ctl

gst-launch helper

Note about USB bandwidth

Note about USB auto suspend

USB Camera Sample Code - Integration into applications

V4L2 OpenCV Interface

GStreamer OpenCV Interface

Face Detection Sample

Note About OpenCV and Configuration

Turn on face tracking

Do funny faces confuse it?

How about glasses?

Subject needs to be looking directly at the camera

Face Detector can track more than one face

Intro

What is librealsense?

Installing Dependencies

Kernel Configuration

Make USB Video Class External Module

Patch UVC Module

Install Librealsense

Testing

Running Samples

Depth Map

Click Download

Go to Downloads' folder

Double click to run JetPackTK1-1.1.-cuda6.5-linux-X64.run

Packages start downloading

Accept Tegra Graphics Debugger license

Make sure the supplied mini-USB cable is connected to Jetson and Host

Hit 'enter' on the Flash OS window

After Jetson is flashed, do a hard reboot on the Jetson

Start installation of toolkits to Jetson

Installer started the Feedback Particle Samples

Git libfreenect, build library and samples

Plug in Kinect

Modify /etc/rc.local

Save, and then reboot

Replug, USB Port and Kinect. USB maintains power

Distances 3 m would be colored blue in the RGB image

Infrared depth-finding camera on the right

Calculated RGB Depth Image is on the left

Notice the diffraction pattern from the Kinect infrared laser projector

This is called a patterned light technique

Setup

Select Jetson TK1

Force USB Recovery Mode

Plug Jetson in

Check USB connection

CUDA Installation

Introduction - Setting up Docker container and webcam for DLI course

DLI course overview

Getting Started with AI on Jetson Nano

Headless device mode

Inside the container

Inside Jupyter lab environment

Conclusion

Arducam Stock Lens 8MP IMX219 Camera Module for NVIDIA Jetson Nano with Camera Case

Arducam Software Controlled Adjustable Focus Motorized Lens IMX219 Drop in Replacement, Auto Focus Powered by OpenCV

Arducam M12 Lens Wide Angle 8MP IMX219 Module Drop-in Replacement

Arducam M12 Low Distortion Lens 8MP IMX219 Module Drop-in Replacement

Arducam Multi Camera Adapter V2.1 - Accommodate up to 4 8MP IMX219 cameras

Camera Specs

Comparison with other 3D Cameras

Comparison to ASUS Xton

RealSense vs Kinect 360

Size Comparison

Detachable USB Cables

Hardware Comparison

ConfigUI Demo

Image Parameters

Multi-Camera Example

Robot Visualizer (Rviz) in upper corner

RGB Image and Point Cloud

Bluetooth paired with the Jetson TK1

Rviz - Robot Visualizer - Output in Upper Corner

Connecting the Cable

Install Minicom

Emulator Configuration

Hardware Overview

Wiring

First Boot

Conclusion

ROS Installation

Install ROS Indigo

Create Kapkan Workspace

Install RealSense Camera

Install RealSense shell script

Starting ROS

Configuring the Camera

Visualize Data

Depth Map

Bottom Bars: Mean difference Red, Green, Blue

Top Line Graph: Image is split into columns

Invert the difference video stream

Inverted Result

Tips for Storing and Charging

Unboxing the charger

Charging

Charging the Battery

Plugging the battery into the Jetson

Plugging in the battery

Conclusion

Battery Life Test