KS0223 Keyestudio Smart Car Kit for Raspberry Pi

• Description
• Kit List
• 1.Assembley Tutorial
  • Raspberry Pi Car
• 2.Image Burning
  • 1.Image Burning
    • 1.1 Parts required
    • 1.2 Install software
    • 1.3 Burn system to SD card
  • 2. Connect the Raspberry Pi to the Internet
  • 3.Use VNC to log in Raspberry Pi system
  • 4.Start the Demo Program
    • 4.1 Download APP
    • 4.2 APP interface
  • 5.Code and Resources
• 3.Raspberry Pi Hardware Control
  • Raspberry Pi Control Project
    • Expansion Board
    • 1.Passive Buzzer
    • 2.Line Tracking Sensor
    • 3.Ultrasonic Sensor
    • 4.Servo Control
    • 5.LED Panel
    • 6.OLED Display
    • 7.Drive Motor
    • 8.Infrared Receiver
    • 9.IR Remote Control Car
    • 10.Line Tracking Car
    • 11.Ultrasonic Following Car
    • 12.Ultrasonic Obstacle Avoidance Robot
• 4.OpenCV Basic Lessons
  • 1. Read and Display Pictures
    • 1.1 Code
    • 1.2 Code explanation
    • 1.3 Run the code and test result：
  • 2. Picture Quality
    • 2.1 Test code
    • 2.2 Code explanation
    • 2.3 Run the code and test result
  • 3. Pixel Operation
    • 3.1 Test code
    • 3.2 Code explanation
    • 3.3 Run the code and test result
  • 4. Image Scaling
    • 4.1 Test code
    • 4.2 Code explanation
    • 4.3 Run the code and test result
  • 5. Image Clipping
    • 5.1 Test code
    • 5.2 Run the code and test result
  • 6. Perspective Transformation
    • 6.1 code
    • 6.2 Code explanation
    • 6.3 Run test code and test result
  • 7. Gray Processing
    • 7.1 Code1 maximum value
    • 7.2 Code explanation
    • 7.3 Run test code 1 and test result
    • 7.4 Code 2 average value
    • 7.5 Run code 2 and test result
    • 7.6 Run test code 3 weighted average
    • 7.7 Run test code 3 and test result
  • 8. Image Binarization
    • 8.1 Code
    • 8.2 Run the code and test result
  • 9. Edge Detection
    • 9.1 Code 1 canny
    • 9.2 Code 1 Explanation
    • 9.3 Run the code 1 and test result
    • 9.4 Code 2 Sobel Scharr
    • 9.5 Code 2 explanation
    • 9.6 Run code 2 and test result
  • 10. Line Segment Drawing
    • 10.1 Code
    • 10.2 Run the code and test result
  • 11. Graphics Drawing
    • 11.1 Code
    • 11.2 Run the code and test result
  • 12. Word Editing
    • 12.1 Code
    • 12.2 Run the code and test result
  • 13. Gaussian Mean Filter
    • 13.1 Code
    • 13.2 Run the code and test result
• 5. Control Raspberry Pi Camera by APP
  • 1. APP communicates with Raspberry Pi through TCP
    • 1.1 APP download and installation
    • 1.2 APP interface
    • 1.3 Code
    • 1.4 Code explanation
    • 1.5 Run code & test result
  • 2. Control the car via APP
    • 2.1 Code
    • 2.2 Run code and test result
  • 3. UDP protocol for camera monitoring
    • 3.1 Code
    • 3.2 Code explanation
    • 3.3 Run code and test result
  • 4. Automatically obtain the IP address of your phone
    • 4.1 Code
    • 4.2 Code explanation
    • 4.3 Run code and test result
  • 5. Boot up the monitoring function of Raspberry Pi
• 6.AI Recognition Tutorial
  • 1.Drive the Camera
    • cv2.VideoCapture() function
    • cap.set() function
    • cap.isOpened() function
    • ret,frame = cap.read() function
    • cv2.waitKey() function
    • 1.6 cap.release() and destroyAllWindows() function
    • 1.7 Example code for driving a camera
    • 1.8 Run the code and test result
  • 2.Color recognition
    • HSV color space
    • Color space conversion
    • Sample code for color recognition
    • Run the codes and test result
  • 3.Color Recognition and Tracking
    • Code to Identify colors and track
    • Run the code and test result
  • 4.QR Code Identification
    • 4.1 QR Code Generator
    • 4.2 Test Code
    • 4.3 Run the code and test result
  • 5.Face Recognition
    • Face Detection Code
    • Run the code and test result
  • 6.TensorFlow Object Recognition
    • Test Code
    • Run the code and test result