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AI Vision USB Camera📖
01.Basic course
  • 1.Camera parameters
  • 2.Camera detect
  • 3.Camera preview screen
02.Docker
  • 1.Docker overview and docker installation
  • 2.Common commands for docker image containers
  • 3.Docker images deeply understand and publish images
  • 4.Docker hardware interaction and data processing
  • 5.Enter the bot's docker container
  • 6.Robot development environment construction in Docker
  • 7.How customers can update docker images in the future
03.ROS vision course
  • 0.Camera preview screen
  • 1.QR code
  • 2.Human pose estimation
  • 3.Target Detection
  • 4.AR vision
  • 5.ROS+Opencv basics
  • 6.Face recognition
  • 7.harris corner detection
  • 8.Target tracking algorithm
  • 9.Contour moment
  • 10.Polygon outline
  • 11.Discrete fourier transform algorithm
  • 12.Edge detection algorithm
  • 13.Face detection algorithm
  • 14.Optical flow detection algorithm
  • 15.Contour detection
  • 16.General contour detection
  • 17.Feature point tracking
  • 18.HLS color filtering
  • 19.Hough circle detection
  • 20.Hough linear detection
  • 21.HSV color filtering
  • 22.LK optical flow algorithm
  • 23.Detection algorithm
  • 24.Phase dependent displacement detection
  • 25.Image pyramid sampling algorithm
  • 26.RGB color filtering
  • 27.Clear background detection algorithm
  • 28.Simplified optical flow algorithm
  • 29.Simple filter
  • 30.Threshold image processing
  • 31.Watershed segmentation algorithm
04.Mediapipe course
  • 1.Hand detection
  • 2.Attitude detection
  • 3.Overall inspection
  • 4.Face detection
  • 5.Face recognition
  • 6.Face effects
  • 7.3D object recognition
  • 8.Brush
  • 9.Finger control
  • 10.Gesture recognition
05.Robot Vision course
  • Tracking color line
06.Camera preview and frame rate test
  • Camera preview and frame rate test
Download
  • Docker Image
  • PC_Software
Download ZIP

Welcome to AI Vision USB Camera repository

2.Camera detect

Camera detect

Camera detect1.View USD device

Connect USB camera into USB port on Jetson/ RaspberryPi board.

Note: We use RaspberryPi board as a example.

1.View USD device

Input following command

xxxxxxxxxx
lsusb

The system will list information about all USB devices connected to the development board.

image-20240229194155306

If the development board does not recognize the corresponding device after connecting the camera, we can use a different USB interface or connect the camera to the computer for testing!

If the camera information still cannot appear after changing the device, it is usually caused by a hardware problem.

Input following command

x
ls /dev/video*

The system will list all device information related to the video device.

image-20240229194033619

If only one camera is connected, generally we use the /dev/video0 device.

video0 is image/video collection, video1 is metadata collection.

Camera parameters
Camera preview screen

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