Here's an in depth look at working with USB cameras on the NVIDIA Jetson platform. Extended article available on JetsonHacks: https://wp.me/p7ZgI9-3f7

We cover discovering camera capabilities using V4L2 and uvcvideo. We then use V4L2, GStreamer and OpenCV to write sample applications in Python to integrate USB cameras into our workflow. The demonstration is running on a Jetson Nano B01, but applies to all members of the Jetson family.

00:00 Introduction
01:23 Examining Camera Capabilities with v4l2-ctl
05:55 A GUI interface for v4l2-ctl with camera previews!
10:30 Controlling Camera Parameters with v4l2-ctl
11:44 gst-launch helper
12:19 Note about USB bandwidth
13:43 Note about USB auto suspend
14:07 USB Camera Sample Code - Integration into applications
15:09 V4L2 OpenCV Interface
18:04 GStreamer OpenCV Interface
20:46 Face Detection Sample
22:10 Note About OpenCV and Configuration

In the video, we use:
* Logitech C920x https://amzn.to/3ojki9C
* Intel Realsense D435i https://amzn.to/3ojki9C
* Stereolabs ZED camera
* RPi Camera: https://amzn.to/2HVQxIl


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