User Manual

ManualsBrandsAdeept ManualsComputers & AccessoriesRaspClaws Hexapod Spider Robot Kit for Raspberry Pi 4 3 Model B+/B, STEAM Crawling Robot, OpenCV Target Tracking, Video Transmission, Raspberry Pi Robot with PDF Manual

Table Of Contents

1. Premise
- 1.1STEAM and Raspberry Pi
- 1.2About the Documentation
2. Raspberry Pi System Installation and Developmen
- 2.1 Install An Operating System for The Raspberry
- 2.2 Enable SSH Server of Raspberry Pi
  - 2.2.1 Method A: Enable SSH with Peripherals
  - 2.2.2 Method A: Enable SSH without Peripherals
- 2.3 Configure WiFi on Raspberry Pi
  - 2.3.1 Method A: WiFi Connection with Peripherals
  - 2.3.2 Method A: WiFi Connection without Periphera
3 Log In to The Raspberry Pi and Install The App
- 3.1 Log into Raspberry Pi (Windows 10)
- 3.2 Log into Raspberry Pi (Linux or Mac OS)
- 3.3 Log into Raspberry Pi (Windows 8 or Previous V
- 3.4 Download Program of The Raspberry Pi Robot
- 3.5 Install Corresponding Dependent Libraries
- 3.6 Run the Raspberry Pi Robot's Program
4 Raspberry Pi Structure Assembly and Precautions
- 4.1 Documentation for Structure Assembly
- 4.2 Tips for Structural Assemblage
- 4.3 Tips for Power Provision
5 Controlling A Robot via WEB App
6 Common Problems and Solutions(Q&A)
7 Set The Program to Start Automatically
- 7.1 Set The Specified Program to Run Automatically
- 7.2 Change The Program That Starts Automatically
8 Remote Operation of Raspberry Pi Via MobaXterm
9 How to Control WS2812 RGB LED
10 How to Control The Servo
- 10.1 Control The Steering Gear to Rotate to A Cert
- 10.2 Control The Slow Motion of The Steering Gear
- 10.3 Non-blocking Control
11 Calling the API to Control the Robot
12 Automatic Stabilization Function
13 Gait Generation Method of A Hexapod Robot
14 Make A Police Light or Breathing Light
- 14.1 Multi-threading Introduction
- 14.2 Realization of Police Lights / Breathing Ligh
- 14.3 Warning Lights or Breathing Lights in Other P
15 Real-Time Video Transmission
16 Why OpenCV Uses Multi-threading to Process Vide
- 16.1 Single Thread Processing of Video Frames
- 16.2 Multi-thread Processing of Video Frames
17 OpenCV Learn to Use OpenCV
18 Using OpenCV to Realize Color Recognition and T
- 18.1 Color Recognition and Color Space
- 18.2 Process of Color Identifying and Tracking
- 18.3 Specific Code
- 18.4 HSV Color Component Range in OpenCV
19 Machine Line Tracking Based on OpenCV
- 19.1 Visual Line Inspection Process
- 19.2 Specific Code
20 Create A WiFi Hotspot on The Raspberry Pi
21 Install GUI Dependent Item under Window
- 21.1 Install GUI Dependencies
22 How to Use GUI
23 Enable UART
- 23.1 Mini UART and CPU Core Frequency
- 23.2 Disabling Linux's Use of Console UART
- 23.3 UART Output on GPIO Pins
- 23.4 UARTs and Device Tree
- 23.5 Relevant Differences Between PL011 and Mini U
24 Control Your Adeept_RaspClaws with An Android D
Conclusion

●In webserver.py, use the functionSelect() function to start the action of the robot:

def functionSelect(command_input, response):

global direction_command, turn_command, SmoothMode, steadyMode, functionMode

if 'scan' == command_input:

pass

elif 'findColor' == command_input:

flask_app.modeselect('findColor')

elif 'motionGet' == command_input: # Moving object detection

flask_app.modeselect('watchDog')

elif 'stopCV' == command_input:

flask_app.modeselect('none')

switch.switch(1,0)

switch.switch(2,0)

switch.switch(3,0)

elif 'KD' == command_input: #Self-balancing

move.commandInput(command_input)

elif 'automaticOff' == command_input: # switch to default fast gait

move.commandInput(command_input)

elif 'automatic' == command_input: # switch to slow gait

move.commandInput(command_input)

elif 'trackLine' == command_input: # track line on

flask_app.modeselect('findlineCV')

elif 'trackLineOff' == command_input: # track line off

flask_app.modeselect('none')

elif 'speech' == command_input: # turn on the alarm light

RL.police()

elif 'speechOff' == command_input: # turn off the alarm light

RL.pause()