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RDK X5 Robot📖
01. RDK-X5-Robot Introduction
  • 1.Introduction
  • 2.Common Problem Analysis
  • 3.Battery and charger usage precautions
  • 4.TF card expand capacity
02. Assembly Tutorial
  • Assembly Tutorial
  • Assembly Video-1
  • Assembly Video-2
  • Assembly Video-3
  • Assembly Video-4
03. Remote Control Course
  • 1.Mobile APP remote control
  • 2.USB Wireless Controller Remote Control
04. ROS Driver Board Course
  • 1. Introduction of extension board
  • 2. Set up STM32 development environment
  • 3. Key control buzzer sound
  • 4. FreeRTOS application
  • 5. Serial communication
  • 6. SBUS model remote control
  • 7. CAN bus communication
  • 8. RGB color light strip
  • 9. Timer interrupt control PWM servo
  • 10. Control serial steering gear
  • 11. Nine-axis attitude sensor to obtain data
  • 12. Control motor forward and reverse
  • 13. The timer captures encoder data
  • 14. Theory of robot kinematics analysis
  • 15. PID control robot motion
05. Basic Control Course
  • 1.Update expansion board firmware
  • 2.Install Python driver library
  • 3.Set the car type
  • 4.Open and close APP program control
  • 5.Turn hotspot mode on and off
  • 6.Buzzer sound
  • 7.Control the motor to rotate forward and reverse
  • 8.Controlling robot movement
  • 9.OLED display
  • 10.Control fans and lighting effects
06. Development Environment
  • 1. Virtual machine installation and use
  • 2. Linux Basics
  • 3. Remote connection
  • 4. Multi-machine communication configuration
  • 5. Bind device ID
  • 6. Image installation and backup
07. ROS2 Basic Course
  • 1. Introduction to ROS2
  • 2. ROS2 install Humble
  • 3. ROS2 development environment
  • 4. ROS2 workspace
  • 5. ROS2 function package
  • 6. ROS2 node
  • 7. ROS2 topic communication
  • 8. ROS2 service communication
  • 9. ROS2 action communication
  • 10. ROS2 custom interface message
  • 11. ROS2 parameter service case
  • 12. ROS2 meta-function package
  • 13. ROS2 distributed communication
  • 14. ROS2 DDS
  • 15. ROS2 time related API
  • 16. ROS2 common command tools
  • 17. ROS2 rviz2 use
  • 18. ROS2 rqt toolbox
  • 19. ROS2 Launch startup file configuration
  • 20. ROS2 recording and playback tool
  • 21. ROS2 URDF model
  • 22. ROS2 Gazebo simulation platform
  • 23. ROS2 TF2 coordinate transformation
08. Robot Chassis Control Course
  • 1. PID algorithm theory
  • 2. Robot information release
  • 3. Robot control
  • 4. Robot state estimation
  • 5. Robot calibration
  • 6. Robot trajectory tracking
  • 7. URDF Model
09. LiDAR Course
  • 1. Introduction and use of lidar
  • 2. Lidar obstacle avoidance
  • 3. Lidar tracking
  • 4. Lidar guard
  • 5. Lidar patrol
  • 6. gmapping mapping algorithm
  • 7. Cartographer mapping algorithm
  • 8. Navigation and obstacle avoidance
  • 9. App Mapping and Navigation
10. OpenCV Course
  • 1. Getting started with OpenCV
  • 2. OpenCV geometric transformation
  • 3. OpenCV Image Processing
  • 4. OpenCV image beautification
  • 5. QR code creation and recognition
11. Mipi Camera Course
  • 1. Camera driver
  • 2. Adjust the color HSV value
  • 3. Color recognition
  • 4. Color Tracking
  • 5. Color Follow
  • 6. QR code instructions
  • 7. Face Detection
  • 8. Object Detection
  • 9. Visual line patrol-OpenCV
  • 10. Visual line patrol-deep learning
  • 11. Human body tracking
  • 12. Gesture control
12. Depth Camera Course
  • 1. Use of Depth Camera
  • 2. Camera intrinsic calibration
  • 3. ROS+OpenCV Basics
  • 4. AR Vision
  • 5. Color Tracking
  • 6. Object Tracking
  • 7. RTAB-Map 3D Mapping Navigation
13. Multi-robot Synchronous Control
  • Multi-vehicle synchronous control
Remote login control
  • 1. VNC and SSH remote login
  • 2. Jupyter lab login and case code running
Download
  • System_File
  • Code
  • VM_File
  • Software_Tools
  • Hardware_Info
  • Firmware
  • Instruction_Manual
  • ROS2_Basic_VM
Download ZIP

Welcome to RDK X5 Robot repository

6. QR code instructions

QR code instructions

QR code instructions6.1 Introduction to gameplay6.2 Core content analysis6.3 How to play

6.1 Introduction to gameplay

This course mainly uses the IMX219 camera to obtain the camera's image, identify the QR code information, and control the car's movement according to the QR code information.

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6.2 Core content analysis

Import the QR code parsing library pybar

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import pyzbar.pyzbar as pyzbar
from PIL import Image

If pybar is not installed on the system, open the terminal and run the following command to install it.

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pip3 install pyzbar
sudo apt install libzbar-dev

Parse the grayscale image and extract the QR code information and image position in the image. If there is no QR code in the image, the information is None.

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def detect_qrcode(image):
# Convert to grayscale image
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
barcodes = pyzbar.decode(gray)
for barcode in barcodes:
# Extract the data of the QR code and the position of the bounding box The data of the QR code and the position of the bounding box are extracted
(x, y, w, h) = barcode.rect
barcodeData = barcode.data.decode("utf-8")
barcodeType = barcode.type
# print("[INFO] Found {} barcode: {}".format(barcodeType, barcodeData))
car_control(barcodeData)
return barcodeData, (x, y, w, h)
return None, (0, 0, 0, 0)

Control the car movement according to the string command of info. car_speed is the speed of the car, which can be adjusted according to actual needs.

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car_speed = 0.3
def car_control(info):
# print(info)
global g_car_runtime
if g_car_runtime >= 0:
return
g_car_runtime = 100
if info == "forward": # forward
g_car.set_car_run(1, car_speed*100)
elif info == "back": # backward
g_car.set_car_run(2, car_speed*100)
elif info == "left": # left translation
g_car.set_car_run(3, car_speed*100)
elif info == "right": # right translation
g_car.set_car_run(1, car_speed*100)
elif info == "turnleft": # left rotation
g_car.set_car_run(5, car_speed*100)
elif info == "turnright": # Rotate right
g_car.set_car_run(6, car_speed*100)
elif info == "stop": # Stop
g_car.set_car_run(7, 0)
g_car_runtime = -1

Define a task_timeout task to make the car stop automatically, and do not execute other QR code instructions during the car's movement. g_car_runtime is in units of 10 milliseconds. When g_car_runtime is greater than 0, it will automatically decrease by 1 every 10 seconds, and the car will stop automatically when the timeout is reached.

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g_car_runtime = -1

def task_timeout():
global g_car_runtime
while True:
if g_car_runtime > 0:
print("g_car_runtime:", g_car_runtime)
g_car_runtime = g_car_runtime - 1
elif g_car_runtime == 0:
print("auto stop")
g_car.set_car_run(7, 0)
g_car_runtime = -1
time.sleep(.01)

6.3 How to play

Open the jupyterLab client and find the code path:

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/home/sunrise/sunriseRobot/Samples/2_AI/06_qrcode_movement/qrcode_movement.ipynb

Click to run all cells, then pull to the bottom to see the generated controls.

image-20220810163917767

Click the Start button below to start recognizing QR codes and execute commands. The QR code that can be recognized in the current routine is QRCode, and the information is "forward" for forward, "back" for backward, "left" for left translation, "right" for right translation, "turnleft" for left rotation, "turnright" for right rotation, and "stop" for stop.

image-20230602155251468

Finally, click the Close_Camera button to close the camera.

Color Follow
Face Detection

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