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Raspbot📖
1.First Trial and Installation
  • 1.1 Installation video
  • 1.2 First Trial
2.Remote control course
  • 2.1 APP control car
  • 2.2 IR control car
3.Preparation
  • 3.1 Preparation
  • 3.2 Run a code on JupyterLab
  • 3.5 TF card expand capacity
4.OpenCV Basic course
A.Getting started with OpenCV
  • 1.Introduction of OpenCV
  • 2.OpenCV image read and display
  • 3.OpenCV image write
  • 4.OpenCV image quality
  • 5.OpenCV pixel operation
B.OpenCV Geometric transformat
  • 1.Picture Zoom
  • 2.Picture Cut
  • 3.Picture Shift
  • 4.Picture Mirroring
  • 5.Affine Map
  • 6.Picture Rotation
  • 7.Perspective Transformation
C.OpenCV picture processing
  • 1.Grayscale processing
  • 2.Image Binarization
  • 3.Edge detection
  • 4.Drawing line segment
  • 5.Drawing rectangle circle
  • 6.Drawing text picture
D.OpenCV image beautification
  • 1.Histogram of color pictures
  • 2.Histogram equalization
  • 3.Image restoration
  • 4.Brightness enhancement
  • 5.Skin whitening
  • 6.Gaussian mean filtering
  • 7.Median filtering
E.OpenCV machine learning
  • 1.KNN recognition of handwritten numbers
  • 2.CNN recognition of handwritten numbers
  • 3.SVM recognition of handwritten numbers
5.Hardware Control course
  • 5.1 Drive buzzer
  • 5.2 Drive motor
  • 5.3 Drive servo
  • 5.4 Ultrasonic ranging
  • 5.5 Ultrasonic avoid
  • 5.6 Ultrasonic+IR avoid
  • 5.7 Tracking
  • 5.8 Restricting
  • 5.9 Drive LED
  • 5.10 IR control test
  • 5.11 IR control car
6.AI vision course
  • 6.1 Driver camera
  • 6.2 Color recognition
  • 6.3 HSV value test
  • 6.4 Camera color tracking
  • 6.5 Car color tracking
  • 6.6 Tensorflow object recognition
  • 6.7 QR code recognition
  • 6.8 QR code control
  • 6.9 Face detection
  • 6.10 Face tracking
  • 6.11 Autopilot
7.Battery and charging
  • Battery and charging
Download
  • APP(iOS/Android)
  • Code
  • Download image
  • Instruction manual
  • More Annex
Download ZIP
FAQ
  • 1、Raspbot-Raspberry Pi 4b version desktop connection WiFi method
  • 2、Can't connect your home WiFi
  • 3、How to check IIC function on Raspbot
  • 4、Gesture recognition cannot work normally.
  • 5、How to write image file into SD card

Welcome to Raspbot repository

5.2 Drive motor

 

1. Learning target

In this course, we will learn how to drive motor of car.

2. Principle 

For the Raspbot car, we use 4 TT DC gear motors. They are driven by the AT8236 chip. The driver chip is not directly connected to the Raspberry Pi pins.

Raspberry Pi communicates with STM8 MUC through IIC, and then STM8 MCU drives AT823612 chip to drive the motor.

3. Coding method

In this course, we use BOARD coding method.

STM8 is connected to SDA.1, SCL.1 on the Raspberry Pi board.

The pin comparison table of Raspberry Pi as shown below.

image.png

image.png 

We have provided a library text dedicated to driving motors and servos --YB_Pcb_Car.py.

It is located in the same directory as the motor driver.

4. About code

Path: /home/pi/Yahboom_project/Raspbot/2.Hardware Control course/2.Drive motor

1) Import time and YB_Pcb_Car library

image.png 

2) Control the car advance with a speed of 150 for two seconds (speed range: 0~255).

image.png 

3) 3) Control the car back with a speed of 150 for two seconds (speed range: 0~255).

image.png 

.......

4) Car stop

image.png 

5) After using, we need to release the car object, otherwise, when the next program needs to use the object, it will be unusable due to it is occupied.

image.png 

5. Running code

Click the button shown in the figure below to run the program on the Jupyter Lab interface

image.png 

6. Experimental phenomena

Car will complete some actions.


Drive buzzer
Drive servo

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