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Self-balancing Robot Car📖
00.Get started quickly
  • 01.Balance car manual
  • 02.Balancing car assembly
  • 03.Get started quickly
  • 04.Balance car interface description
  • 05.Common Problem Analysis
  • 06.Balance Car V2 Library Function Development Manual
01.Environment development
  • 01.MDK-ARM installation
  • 02.STM32CubeIDE installation
  • 03.Common driver installation
  • 04.Download the program
  • 05.MDK-ARM project usage
  • 06.Program simulation
  • 07. VSCode Installation
02.STM32 getting started course
  • 01.Project creation
  • 02.LED Control(GPIO)
  • 03.Buzzer control(GPIO)
  • 04.Button control(EXTI)
  • 05.Serial communication(USART)
  • 06.Voltage detection(ADC)
  • 07.Basic timer(TIM)
  • 08.Universal timer(TIM)
  • 09.Advanced Timer(TIM)
  • 10.I2C Communication(I2C)-OLED
  • 11.SPI communication(SPI)-2.4G handle
  • 12.Independent Watchdog (IWDG)
  • 13.Window Watchdog (WWDG)
  • 14.DMA-USART
  • 15.DMA-I2C
03.STM32 expansion course
  • 01.Battery voltage detection (ADC)
  • 02.Ultrasonic module-measuring distance (TIM)
  • 03.Motor drive+encoder (TIM)
  • 04.OLED Data-Display(I2C)
  • 05.MPU6050-Data Read (I2C)
  • 06.Bluetooth module-Data reading (USART)
  • 07.2.4G handle-Data reading (SPI)
  • 08.Tracking module-Read status (GPIO)
  • 09.CCD module-Reading data (ADC)
  • 10.Electromagnetic module-Reading data (ADC)
  • 11.K210 module-Serial communication (USART)
  • 12.Tmini-Plus lidar-Reading data (USART)
04.Robot car PID control course
  • 01.PID basic concept
  • 02.PID example analysis
  • 03.P, PI, PD controller theory
  • 04.Position PID
  • 05.Incremental PID
  • 06.Cascade PID
  • 07.Balance principle of car
  • 08.Car upright control (PD)
  • 09.Car speed ​​control (PI)
  • 10.Car steering control (PD)
  • 11.Got angle and angular velocity (DMP algorithm)
  • 12.Got angle and angular velocity (Kalman filter algorithm)
  • 13.Got angle and angular velocity(Complementary filter algorithm)
05.Robot car basic course
  • 01.Car parameter adjustment
  • 02.Ultrasonic obstacle avoidance
  • 03.Ultrasonic follow
  • 04.Bluetooth remote control
  • 05.Load balance
06.Robot car advanced course
  • 01.4-channel tracking
  • 02.4-channel tracking avoid
  • 03.2.4G handle control
  • 04.CCD tracking
  • 05.CCD tracking avoid
  • 06.Electromagnetic tracking
  • 07.K210-QR code recognition
  • 08.K210-Color line tracking
  • 09.K210-Color follow
  • 10.K210-Self learning
  • 11.K210-Number recognition
  • 12.Lidar avoid
  • 13.Lidar guard
  • 14.Lidar follow
  • 15.Lidar patrol
  • 16.Lidar wall tracking-straight line
  • 17.Lidar wall tracking-multiple walls
  • 18. DIY Automatic driving car
07.Robot car LQR control
  • Robot car LQR control
08.Circuit design
  • 01.Overall circuit design
  • 02.STM32 minimum system
  • 03.Serial port circuit design
  • 04.Power circuit design
  • 05.MPU6050 Circuit Design
  • 06.Motor drive circuit design
09.Mathematical model
  • Mathematical model
10.Expand course
  • Autonomous Driving
Download
  • APP(Android)
  • Codes
  • Hardware-Info
  • SCH
  • Software Tools
  • STM32_Chip_DataSheet
  • 3D_Model_File
  • Video_PPT
Download ZIP

Welcome to Self-balancing Robot Car repository

07.K210-QR code recognition

K210-QR code recognition

K210-QR code recognitionHardware connectionControl principleMain codeProgram flow chartExperimental phenomenon

The tutorial mainly demonstrates the function of using a balance car with a K210 visual module to control the balance car with a QR code.

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The tutorial only introduces the standard library project code

Hardware connection

PeripheralsDevelopment board
K210 visual module: VCC5V
K210 visual module: TXDPA2
K210 visual module: RXDPA3
K210 visual module: GNDGND

Control principle

The K210 visual recognition module identifies the control instructions in the QR code information, and sends the identified QR code information to the development board. The development board controls the balance car to achieve corresponding actions according to the instruction information of the QR code.

  • K210 Vision Module

image-20240819151049932

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The K210 vision module itself is a development board. For detailed usage, please refer to the module supporting tutorial

Download the program

Connect the SD card of the K210 vision module to the computer through a card reader, rename the program file to main.py and copy it to the SD card, then reinstall the SD card back into the SD card slot of the K210 vision module.

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The K210 vision module and development board case codes are in the same folder: the folder name will distinguish the development board to which the code belongs

QR code

The QR code test can use the pictures in the tutorial, or use the webpage generated by QR Code online to generate a QR code picture.

image-20240819155033700

Communication protocol

The program of the K210 visual module will parse the control instructions of the QR code, and the control instructions need to match the preset program.

QR code informationK210 sent contentBalance car action
goahead$goahead#Stop after 2 seconds forward
goback$goback#Stop after 2 seconds backward
turnleft$turnleft#Stop after 1 second left and 1 second forward
turnright$turnright#Stop after 1 second right and 1 second forward

Main code

The tutorial mainly explains the code for the K210 QR code recognition and control of the balance car function. For detailed code, please refer to the corresponding project file.

Deal_K210

Receive valid data sent by K210.

​x
void Deal_K210(uint8_t recv_msg)
{
    if (recv_msg == '$' && g_new_flag == 0)
    {
        g_new_flag = 1;
        memset(buf_msg, 0, sizeof(buf_msg)); // Clear old data
        return;
    }
    if(g_new_flag == 1)
    {
        if (recv_msg == '#')
        {
            g_new_flag = 0;
            g_index = 0;
            g_new_data = 1;
        }

        if (g_new_flag == 1 && recv_msg != '$')
        {
            buf_msg[g_index++] = recv_msg;

            if(g_index > 20) // Array overflow
            {
                g_index = 0;
                g_new_flag = 0;
                g_new_data = 0;
                memset(buf_msg, 0, sizeof(buf_msg)); // Clear old data
            }

        }
    }
}

Change_state

Execute different actions according to different instructions sent by k210.

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void Change_state(void)
{
    if(g_new_data == 1)
    {
        g_new_data = 0;  
        if (strcmp("goback", buf_msg) == 0 )
        {
            // The car moves back for two seconds and then stops
            Move_X = -Go_speed;
            my_delay(2);
            Move_X = 0;
        }
        else if (strcmp("goahead", buf_msg) == 0 )
        {
            // The car moves back for two seconds and then stops
            Move_X = Go_speed;
            my_delay(2);
            Move_X = 0;
        }
        else if (strcmp("turnleft", buf_msg) == 0)
        {
            // The car turns left for 1 second and then moves forward for 1 second before stopping
            Move_Z = -Trun_speed;
            my_delay(1);
            
            Move_Z = 0;
            Move_X = Go_speed;
            
            my_delay(1);
            Move_X = 0;
        }
        else if (strcmp("turnright", buf_msg) == 0 )
        {
            // The car turns right for 1 second and then moves forward for 1 second before stopping
            Move_Z = Trun_speed;
            my_delay(1);
            
            Move_Z = 0;
            Move_X = Go_speed;
        
            my_delay(1);
            Move_X = 0;
        }
    }
}

Program flow chart

Brief introduction to the function implementation process:

image-20240904120614775

Experimental phenomenon

Software code

The K210_BalancedCar_QR.hex file generated by the project compilation is located in the OBJ folder of the K210_BalancedCar_QR project. Find the K210_BalancedCar_QR.hex file corresponding to the project and use the FlyMcu software to download the program to the development board.

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Both the K210 visual module and the development board need to download the program to realize the corresponding function
Product supporting materials source code path: Attachment → Source code summary → 5.Balanced_Car_Extended → 07.K210_BalancedCar_QR

Experimental phenomenon

After the program is started, press KEY1 according to the OLED prompt to start the QR code recognition function of the balance car: OLED displays the program function name in real time (Start discern QR!); K210 visual recognition module recognizes the QR code and performs the corresponding action; if the QR code is not recognized, the balance car will stop moving and maintain balance.

The program has voltage detection. If the voltage is less than 9.6V, the low voltage alarm is triggered and the buzzer will sound.
Common situations in which the voltage alarm is triggered:
1. The power switch of the development board is not turned on, and only the Type-C data cable is connected for power supply
2. The battery pack voltage is lower than 9.6V and needs to be charged in time
Electromagnetic tracking
K210-Color line tracking

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