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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

2.Assembly and wiring of stm32 car

Assembly and wiring of stm32 car

Assembly and wiring of stm32 car1.Experiment preparation2.Car wiring2.1 Stm32 and dual driver board wiring part2.2 Wiring of STM32F103RCT6 and infrared sensor2.3 Wiring of STM32RCT6 and k2103.Follow the line driving3.1 Main source code analysis3.2 Experimental effect

1.Experiment preparation

  1. Material preparation

  • Smart car mini chassis *1

  • stm32F103RCT6 *1

  • Yahboom's dual-channel motor driver board *2 (Other motor driver boards may not be suitable for the source code provided in this tutorial, you need to transplant it yourself)

  • Four-way tracking module *1

  • 310 motor *4

  • k210 viewing angle module *1

  • K210 angle of view module heightened bracket *1

  • 7.4V battery *1

  • Several DuPont lines

  • M3 copper pillars, some M3 screws

2.Car wiring

After the car is assembled, as shown in the figure below.

01

02

2.1 Stm32 and dual driver board wiring part

  1. Wiring of stm32F103RCT6 and dual motor board (top board)

STM32RCT6The top two-way motor board
PA11BN1
PA8BN2
PC6AN1
PC7AN2
3.33V3
GNDGND
PA0E2A
PA1E2B
PA15E1A
PB3E1B
  1. Wiring of stm32F103RCT6 and dual motor board (lowest board)

STM32RCT6The bottom two-way motor board
PB0BN1
PB1BN2
PC8AN1
PC9AN2
3.33V3
GNDGND
PA7E2A
PA6E2B
PB7E1A
PB6E1B
  1. The motor drive board on the top layer is the motor of the two wheels (that is, the front motor) that is connected to the electromagnetic sensor.,

    motorA--->right motor、motorB--->left motor

  2. The motor drive board at the bottom is connected to the two-wheeled motors away from the electromagnetic sensor (that is, the motor at the back),

motorA--->right motor、motorB--->left motor

03

2.2 Wiring of STM32F103RCT6 and infrared sensor

STM32RCT64-way line inspection sensor
PA5S1
PA4S2
PA3S3
PA2S4
3.3VVCC
GNDGND

2.3 Wiring of STM32RCT6 and k210

STM32RCT6k210
PA9RXD
PA10TXD
VCCVCC
GNDGND

At this point, the assembly and wiring of the car is over.

3.Follow the line driving

Flash the STM32_K210_AI.hex file in the stm32 source code provided in this tutorial to the assembled car. The car can drive on the black line(To flash the program to the car through the serial port), This series of tutorials only provides the source code of the stm32 car part. If you only need a small part of the functions in it, you can transplant it into the source code.

3.1 Main source code analysis

void Track_line(void) //IR tracking processing   Detecting the black line is to turn on the light   
{   
    if((IN_S1 == 0 || IN_S3 == 0) && IN_S2 == 1 && IN_S4 == 1) //go straight
    {
        Motion_Set_Pwm(100,0,100,0);//Upper right wheel, lower right wheel, upper left wheel, lower left wheel
    }  
    //turn left and right
    if(IN_S2 == 0 && IN_S3 == 1 )
    {
        //Turn left
        Motion_Set_Pwm(500,500,-350,-350);
    }
        else if(IN_S4 == 0 && IN_S1 == 1 )
    {
        Motion_Set_Pwm(-550,-550,550,550);
    }
    if((IN_S1 == 0 && IN_S2 == 0) && (IN_S3 == 0 && IN_S4 == 0))//all black lines
    {
        
         Motion_Set_Pwm(0,0,0,0);//stop
        //Motion_Set_Pwm(50,0,50,0);//go ahead
    }
}

The above is a simple line inspection function. After initializing the 4-way line inspection module and the motor, call this function in the while(1) loop to realize the car line inspection

3.2 Experimental effect

04

The car will be able to patrol the line normally, and will stop when it hits the stop line.

k210 model training
Recognize left and right sign

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