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K210 Module📖
0.Camera changes
  • Precautions for camera changes
1.K210-AI-Camera introduction
  • 1.K210 main chip introduction
  • 2.K210 visual recognition module introduction
  • 3.Module pin assignments
  • 4.MicroPython Introduction
  • 5. FAQ analysis
  • 6.Bracket installation
2.Development Environment Setup
  • 1.To install the serial port assistant
  • 2.Install CanMV IDE development software
  • 3.Flashcard factory firmware
  • 4.IDE import routine
  • 5.Call custom py library
  • 6.MicroPython API documentation
3.Basic experimental routines
  • 1.Lighting the RGB light experiment
  • 2.Key features of the experiment
  • 3.Timer experiment
  • 4.PWM breathing light experiment
  • 5.LCD display experiment
  • 6.The touchpad read the coordinates of the experiment
  • 7.The camera shows the experimental
  • 8.Memory card read and write files of the experiment
  • 9.External interface experimental
4.Graphical manipulation routines
  • 1.Draw graphics
  • 2.Button and the click event
  • 3.Slider
  • 4.Chart animation
  • 5.Multi-label layout
5.AI visual experiments routines
  • How to import the model file into memory cardnew
  • 1.Color recognition
  • 2.Barcode recognition
  • 3.QR code recognition
  • 4.Apriltags recognition
  • 5.Face detection
  • 6.Face feature detection
  • 7.Mask detection
  • 8.Face recognition
  • 9.Object detection
  • 10.Self-learning classification
  • 11.Handwritten digit recognition
  • 12. Multiple color recognition
  • 13. Human body detectionnew
  • 14. Yolo hand detectionnew
  • 15. License Plate Recognitionnew
  • 16. Autonomous training modelnew
6.Extended routines (sold separately)
6.1.For STM32 Car
  • 10. stm_ K210 Autonomous Learning Classification
  • 1.automatic driving
  • 2.color follow
  • 3.Handwriting digital operation
  • 4.Color reaction
  • 5.Road sign indicating the operation
  • 6.Following the apriltag
  • 7.QR code instruction
  • 8.PTZ tracking color
  • 9.PTZ tracking face
6.2.1 arduino_k210
  • 1.ard_k210-Color recognition
  • 2.ard_k210-Bar code identification
  • 3.ard_k210-QR code identification
  • 4.ard_ K210-mechanical code identification
  • 5.ard_ K210-Face Detection
  • 6. ard_ K210-facial feature detection
  • 7. ard_ K210-mask detection
  • 8. ard_ K210-facial recognition
  • 9. ard_ K210-object detection
  • 10. ard_ K210 Autonomous Learning Classification
  • 11. ard_ K210 Handwritten Digit Recognition
6.2 K210 as a coprocessor
  • ReadMe
6.2.2 stm32_k210
  • 1.stm_ K210 color recognition
  • 2. stm_ K210 barcode recognition
  • 3. stm_ K210 QR code recognition
  • 4. stm_ K210 mechanical code identification
  • 5. stm_ K210 Face Detection
  • 6.stm_ K210 facial feature detection
  • 7. stm_ K210 mask detection
  • 8. stm_ K210 facial recognition
  • 9. stm_ K210 object detection
  • 11. stm_ K210 Handwritten Digit Recognition
6.2.3 microbit_k210
  • 1.microbit_ K210 color recognition
  • 2.microbit_ K210 barcode recognition
  • 3.microbit_ K210 QR code recognition
  • 4.microbit_ K210 mechanical code identification
  • 5. microbit_ K210 Face Detection
  • 6. microbit_ K210 facial feature detection
  • 7. microbit_ K210 mask detection
  • 8. microbit_ K210 facial recognition
  • 9. microbit_ K210 object detection
  • 10. microbit_ K210 autonomous classification learning
  • 11. microbit_ K210 Handwritten Digit Recognition
6.2.4 pico_k210
  • 1. pico_ K210 color recognition
  • 2. Pico_ K210 barcode recognition
  • 3. Pico_ K210 QR code recognition
  • 4. pico_ K210 machine code recognition
  • 5. pico_ K210 Face Detection
  • 6. pico_ K210 facial feature detection
  • 7. pico_ K210 mask recognition
  • 8. pico_ K210 facial recognition
  • 9. pico_ K210 object detection
  • 10. pico_ K210 Autonomous Learning Classification
  • 11. pico_ K210 Handwritten Digit Recognition
6.2.5 MSPM0G3507_k210
  • 1.MSPM0_K210 color recognition
  • 2.MSPM0_K210 barcode recognition
  • 3.MSPM0_K210 QR code recognition
  • 4.MSPM0_K210 mechanical code recognition
  • 5.MSPM0_K210 face detection
  • 6.MSPM0_K210 facial feature detection
  • 7.MSPM0_K210 mask detection
  • 8.MSPM0_K210 face recognition
  • 9.MSPM0_K210 Object Detection
  • 10.MSPM0_K210 Self-study classification
  • 11.MSPM0_K210 handwritten digit recognition
6.2.6 MSPM0G3519_k210
  • 1. MSPM0_K210 Color Recognitionnew
  • 2. MSPM0_K210 Barcode Recognitionnew
  • 3. MSPM0_K210 QR Code Recognitionnew
  • 4. MSPM0_K210 Mechanical Code Recognitionnew
  • 5. MSPM0_K210 Face Detectionnew
  • 6. MSPM0_K210 Facial Feature Detectionnew
  • 7. MSPM0_K210 Mask Detectionnew
  • 8. MSPM0_K210 Face Recognitionnew
  • 9. MSPM0_K210 Object Detectionnew
  • 10. MSPM0_K210 Self-study Classificationnew
  • 11. MSPM0_K210 Handwritten Digit Recognitionnew
6.3 For 24 channel servo drive board
  • 1. 2DOF PTZ Color Tracking
  • 2. 2DOF Face Tracking
  • 3. 2DOF Fruit sorting
6.4 For autopilot map
  • 1.k210 model training
  • 2.Assembly and wiring of stm32 car
  • 3.Recognize left and right sign
  • 4.Identify and remove speed limit
  • 5.Identify parking spaces and park
  • 6.STM32 car autopilot
6.5.1 For MSPM0G3507_Wheeled Chassis Kit
  • 1.MSPM0-Automatic Driving
  • 2.MSPM0-Color follow
  • 3.MSPM0-Number recognition
  • 4.MSPM0-Color reaction
  • 5.MSPM0-Road signs
  • 6.MSPM0-Machine code following
  • 7.MSPM0-QR code recognition
6.5.2 For MSPM0G3519_Wheeled Chassis Kit
  • 1.MSPM0-Automatic Drivingnew
  • 2.MSPM0-Color follownew
  • 3.MSPM0-Number recognitionnew
  • 4.MSPM0-Color reactionnew
  • 5.MSPM0-Road signsnew
  • 6.MSPM0-Machine code followingnew
  • 7.MSPM0-QR code recognitionnew
6.5.3 For STM32_Wheeled Chassis Kit
  • 1.STM32-Automatic Driving
  • 2.STM32-Color follow
  • 3.STM32-Number recognition
  • 4.STM32-K210-Color Reaction
  • 5.STM32-Road signs
  • 6.STM32-Machine code following
  • 7.STM32-QR code recognition
Download
  • Driver development software
  • AI model
  • Source code
  • Instruction manual
  • Hardware_3DModelFile
  • K210_Chip_Data
Download ZIP

Welcome to K210 Module repository

5.Identify parking spaces and park

Identify parking spaces and park

Identify parking spaces and park1.Experimental goal2.Experimental principle3.Main source code analysis4.Experimental results

1.Experimental goal

The purpose of this experiment is to combine the stm32 car with the k210 perspective module to identify the No. 1 and No. 2 parking spaces of the road signs, and complete the automatic parking function on the map.

2.Experimental principle

k210 transmits the recognized road sign information to STM32 through the serial port. The position of the stop line at the stm32 car will process the information of the k210 viewing angle module, so as to drive the motor to do the corresponding action

3.Main source code analysis

​x
//Parking at No. 1
void Reverse_parking_no1(void)
{
    bound_num = one;
    Motion_Set_Pwm(800,800,-1000,-1000);
    dao_delay(600); 
    Motion_Set_Pwm(-50,-50,-50,-50);
    dao_delay(400);
    Car_outbound();
}

//Parking at No. 2
void Reverse_parking_no2(void)
{
    bound_num = two;
    Motion_Set_Pwm(-50,-50,-50,-50);
    dao_delay(530);
    
    Motion_Set_Pwm(0,0,0,0);
    dao_delay(100);
    
    Motion_Set_Pwm(800,800,-1000,-1000);
    dao_delay(600); 
    
    Motion_Set_Pwm(0,0,0,0);
    dao_delay(100);
    
    Motion_Set_Pwm(-50,-50,-50,-50);
    dao_delay(400);
    
    Car_outbound();
    
}

void Car_outbound()
{
    
    Motion_Set_Pwm(0,0,0,0);
    for(u8 i = 0;i<3 ;i++)
    {
        dao_delay(1000);
    }
    
    
    Motion_Set_Pwm(50,50,50,50);
    dao_delay(350);
    Motion_Set_Pwm(0,0,0,0);
    dao_delay(20);
    
    Motion_Set_Pwm(-1000,-1000,1000,1000);  
    Motion_Set_Pwm(-400,-400,800,800); 
    dao_delay(450); 
    set_dataid(chuku_track_line);

}

  • dao_delay :In order to achieve the accuracy of the delay every time, this function uses a timer to calculate the time.

  • Reverse_parking_no1:Drive into the No. 1 warehouse

  • Reverse_parking_no2:Drive into the No. 2 warehouse

  • Car_outbound:Pull into the parking garage and stop for a few seconds to drive out If you drive into a parking space and find that the position of the parking space does not exactly match the stop position of the car, you can adjust the value of the delay time to make adjustments

4.Experimental results

Use the serial port burning tool to download the STM32_K210_AI.hex file in the OBJ folder in the stm32 source code provided in this tutorial This series of tutorials only provides the source code of the stm32 car part. If you only need a small part of the functions, you can transplant it into the source code

  1. When the car recognizes the No. 1 parking lot at the stop line, the car enters the movement of reversing the No. 1 parking garage, and then drives out to make a parking line inspection movement, and resumes the normal line inspection movement for a period of time.

  2. When the car recognizes the No. 2 parking lot at the stop line, the car enters the movement of reversing the No. 2 parking garage, and then drives out to make a parking line inspection movement, and resumes the normal line inspection movement for a period of time. 01 02

 

Identify and remove speed limit
STM32 car autopilot

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