• Installation video

• First Trial

• 1.Download and write the image
• 2.Start Raspberry Pi system image
• 3.Method of enter Raspberry Pi system
• 4.Remote transfer file
• 5.Linux common commands and vim editor
• 6.Raspberry Pi system backup
• 7.About wiringPi library
• 8.Configured as a router
• 9.Serial port communicates with external devices

• 4.1 Preparation
• 4.2 How to run a single course program

A.Getting started with OpenCV

• 1.Introduction of OpenCV
• 2.OpenCV image read and display
• 3.OpenCV image write
• 4.OpenCV image quality
• 5.OpenCV pixel operation

B.OpenCV Geometric transformat

• 1.Picture Zoom
• 2.Picture Cut
• 3.Picture Shift
• 4.Picture Mirroring
• 5.Affine Map
• 6.Picture Rotation
• 7.Perspective Transformation

C.OpenCV picture processing

• 1.Grayscale processing
• 2.Image Binarization
• 3.Edge detection
• 4.Drawing line segment
• 5.Drawing rectangle circle
• 6.Drawing text picture

D.OpenCV image beautification

• 1.Histogram of color pictures
• 2.Histogram equalization
• 3.Image restoration
• 4.Brightness enhancement
• 5.Skin whitening
• 6.Gaussian mean filtering
• 7.Median filtering

E.OpenCV machine learning

• 1.KNN recognition of handwritten numbers
• 2.CNN recognition of handwritten numbers
• 3.SVM recognition of handwritten numbers

• 6.0 Instructions
• 6.1 Buzzer
• 6.2 Servo
• 6.3 Mecanum wheel movement
• 6.4 PS2 handle test
• 6.5 PS2 handle control car
• 6.6 Obtain the data of the driver board
• 6.7 About PID

• 7.1 Drive camera
• 7.2 Color recognition
• 7.3 Mobile tracking
• 7.4 Tensorflow Object recognition
• 7.5 QR code recognition
• 7.6 QR code control car
• 7.7 Face Detection
• 7.8 Face tracking
• 7.9Autopilot

• 8.1 Preparation
• 8.2 Voice broadcast
• 8.3 QR code recognition+Voice broadcast
• 8.4 Object recognition+Voice broadcast
• 8.5 Voice broadcast IP

• Download APP

• Battery and charging