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ROSMASTER M1📖
01.Robot Configuration and Operation Guide
  • 0. Assembly video
  • 1. Servo PTZ calibration
  • 2. Quick start guide handle control
  • 3. First trial
  • 4. Enter Docker (For JETSON Nano and RPi 5)
  • 1.5 Quick Start video
02.AI Model Preparation
  • AI Model Preparation
03.AI Model Basics course
  • 1.AI large model types and principles
  • 2.RAG retrieval enhancement and model training samples
  • 3.Embodied intelligent robot system architecture
  • 4.Embodied intelligent functions core source code
04.AI Model Developmentnew
  • 1.Register a model service provider account
  • 2. Configuring API-KEY
  • 3. Introduction to Dify
  • 4. Basic Dify Features
  • 5. Deploy the RAG knowledge base
  • 6. AI Large Model Development - chatbot
  • 7. RAG knowledge base + chatbot
  • 8. AI agent workflow
  • 9. Custom wake-up response
  • 10. Core module testing tools
05.AI Model - Text Version
  • 1.Semantic understand and command follow
  • 2.Multimodal visual understand
  • 3.Multimodal visual understand + PTZ tracking
  • 4.Multimodal visual understand + visual following
  • 5.Multimodal visual understand + visual line patroling
  • 6.Multimodal visual understand + Depth Camera Distance Question Answering
  • 7.Multimodal visual understand+SLAM navigation
  • 8.Multimodal visual understand+SLAM navigation + visual line patroling
  • 9.Intention estimation + Multimodal visual understand + SLAM navigation + visual functions
06.AI Model - Voice Version
  • 1.Semantic understand and command follow
  • 2.Multimodal visual understand
  • 3.Multimodal visual understand + PTZ tracking
  • 4.Multimodal visual understand + visual following
  • 5.Multimodal visual understand + visual line patroling
  • 6.Multimodal visual understand + Depth Camera Distance Question Answering
  • 7.Multimodal visual understand+SLAM navigation
  • 8.Multimodal visual understand+SLAM navigation + visual line patroling
  • 9.Intention estimation + Multimodal visual understand + SLAM navigation + visual functions
07.Chassis Control Course
  • 1. ROS control
  • 2. Handle control
  • 3. Keyboard control
  • 4. Linear velocity calibration
  • 5. Angular velocity calibration
  • 6. URDF model
08.Mediapipe Visual Course
  • 1.Hand detection
  • 2.Posture detection
  • 3.Overall detection
  • 4.Facial landmark detection
  • 5.Face detection
  • 6.Face special effects
  • 7.3D object recognition
  • 8.Brush
  • 9.Finger control
  • 10.Gesture recognition
  • 11.Palm target positioning
  • 12.Fingertip trajectory recognition
09.Advanced Vision Course
  • 1.QR code
  • 2.Human Pose Estimation
  • 3.Object Detection
  • 4.AR Vision
  • 5.ROS+Opencv Basics
  • 6.Yolov8 Object Detection (ORIN)
  • 7.Deep Learning Object Tracking (ORIN)
10.HD Camera Vision Course(Standard Version)
  • 01.Color tracking
  • 02.Face Tracking
  • 03.AprilTag machine code tracking
  • 04.KCF Object Tracking
  • 05.QR code tracking
  • 06.Mediapipe gesture tracking
  • 07.Meidpipe human posture tracking
  • 08.Color Follow
  • 09.Face Following
  • 10.AprilTag machine code following
  • 11.QR code follow
  • 12.Mediapipe gesture recognition and following
  • 13.Meidpipe human posture following
  • 14.Visual tracking autonomous driving
  • 15.QR code motion control
  • 16.Gesture motion control
11.Depth Camera Vision Course(Superior Version)
  • 1.Basic use of depth camera
  • 2.Deep pseudo-color image
  • 3.Depth camera ranging
  • 4.Color block volume measurement
  • 5.Color Following
  • 6.Face Following
  • 7.QR code follow
  • 8.Machine code following
  • 9.KCF Object Following
  • 10.Mediapipe gesture following
  • 11.Mediapipe Posture Following
  • 12.Visual tracking autonomous driving
  • 13.Edge Detection
12.LiDAR Course
  • 1.Basic use of Lidar
  • 2.Lidar obstacle avoidance
  • 3.Lidar following
  • 4.Lidar patrol
  • 5.Gmapping-SLAM mapping
  • 6.Cartographer-SLAM mapping
  • 7.slam_toolbox mapping
  • 8.Navigation2 single-point navigation avoid
  • 9.Navigation2 multi-point navigation avoid
  • 10.Cartographer Repositioning navigation
  • 11.RTAB-Map mapping
  • 12.RTAB-Map navigation
  • 13.APP mapping navigation
13.Multi-Vehicle Course
  • 1.Multi-vehicle control
  • 2.Multi-vehicle navigation
  • 3.Multi-vehicle platoon
14.Autonomous Driving expand(Need purchase track map)
【Track Map】Multimodal visual understand+SLAM navigation
  • 1. Multimodal visual understand+SLAM navigation
【Track Map】Autonomous driving (RDKX5 & Orin)
  • 1. Venue placement and precautions
  • 2. Start testing
  • 3. Identify and debug
  • 4. Lane keeping
  • 5. Road sign detection
  • 6. Traffic light recognition
  • 7. Fixed point parking
  • 8. Steering decision
  • 9. Horn sounding
  • 10. Deceleration
  • 11. Speed limit
  • 12. Autonomous parking
  • 13. Comprehensive application
  • 14. Unmanned driving integrated AI large model
【Track Map】Autonomous driving (Jetson Nano)
  • 1. Venue placement and precautions
  • 2. Start testing
  • 3. Identify and debug
  • 4. Lane keeping
  • 5. Road sign detection
  • 6. Traffic light recognition
  • 7. Fixed point parking
  • 8. Steering decision
  • 9. Horn sounding
  • 10. Deceleration
  • 11. Speed limit
  • 12. Autonomous parking
  • 13. Comprehensive application
【Track Map】Road network planning
  • 1. Introduction to Road Network Planning and Navigation
  • 2. Constructing a Pose Map
  • 3. Road Network Labelling
  • 4. Road Network Planning Combined with Sand Table Map
  • 5. Path Replanning
【Track Map】Model Training
  • 1. Data Collection
  • 2. Dataset Annotation
  • 3. YOLOv11 Model Training
  • 4. Model Format Conversion
15.YOLOV11 development course (ORIN)
  • 1.YOLO environment construction
  • 2.CLI use
  • 3.Object detection
  • 4.Instance segmentation
  • 5.Pose estimation
  • 6.Image classification
  • 7.Oriented object detection
  • 8.Model conversion
  • 9.Dataset annotation
  • 10.Model Training_Conversion
  • 11.Model prediction
16.YOLOV11 development course(RPi&Jetson NANO)
  • 1.YOLO environment construction
  • 2.CLI use
  • 3.Object detection
  • 4.Instance segmentation
  • 5.Pose estimation
  • 6.Image classification
  • 7.Oriented object detection
  • 8.Model conversion
  • 9.Model prediction
17.YOLOV11 development course(RDK X5)
  • 1.YOLO environment construction
  • 2.CLI use
  • 3.Object detection
  • 4.Instance segmentation
  • 5.Pose estimation
  • 6.Image classification
  • 7.Oriented object detection
  • 8.Model prediction
  • 9.Model Quantization
18.Main control board course
Jetson Nano B01
  • 1. Introduction to the Jetson Nano B01 SUB Board
  • 2. Burn the system image
  • 3. Re-read the memory card or USB drive that has been burned
  • 4. Startup system
  • 5. Jetson Nano B01 System and Desktop Introduction
  • 6. Memory card or USB flash drive expansion
  • 7. Network Configuration
  • 8. SSH remote login & file transfer
  • 9. VNC Remote Login
  • 10. Jetson Nano B01 system backup
  • 11. Jetson Nano Swap space increased
  • 12. Installation and use of Jtop
  • 13. Third-party board + USB drive to start the car
Jetson Orin Nano_NX
  • 1.Jetson Orin board introduction
  • 2.Restore the factory image system
  • 3.Backup SSD system
  • 4.SSD expansion
  • 5.Network configuration
  • 6.SSH remote login
  • 7.VNC remote control
  • 8.Remote file transfer
  • 9.Jtop tool
  • 10.Exchange space expansion
Raspberry Pi
  • 1. Introduction to Raspberry PI 5
  • 2. Raspberry PI system installation and backup
  • 3. Powering the Raspberry PI 5
  • 4. Startup of Raspberry PI 5
  • 5. Update and upgrade operating system
  • 6. Introduction to raspi-config tool
  • 7. config.txt file description
  • 8. Network Configuration
  • 9. remote access
  • 10. Transfer files remotely
  • 11. Set display resolution and rotation
  • 12. Set screen to sleep
  • 13. Play audio and video
  • 14. Using USB camera
  • 15. Using MIPI camera
  • 16. Get real-time temperature of Raspberry Pi
RDK X5
  • 1.Introduction to RDK X5 board
  • 2.Write system file
  • 3.Hardware interface description
  • 4.Install case and other accessories
  • 5.Network configuration
  • 6.Remote login
  • 7.Update system
  • 8.srpi-config user guide
  • 9.config. txt configuration file
  • 10.Self-startup setting
  • 11.RDK exclusive command usage
  • 12.Linux command usage
  • 13.GPIO readwrite operation
  • 14.Image classification algorithm
  • 15.Use USB camera
  • 16.Use MIPI camera
  • 17.Binocular camera depth algorithm
19.AI large model course(ORIN-Pi-RDK X5)
Offline large model (Text Interaction)
  • 0. AI Large Model Mirroring Explanation
  • 1. Deployment of large-scale AI models
  • 2.Installation of the large-scale model dialogue platform
  • 3. Meta AI Llama 3.2 model
  • 4. Alibaba Cloud Qwen3 Model
  • 5. Microsoft Phi-4 mini model
  • 6. DeepSeek DeepSeek-R1 model
  • 7. Alibaba Cloud Qwen2.5vl Visual Multimodal Large Model
  • 8. Google Gemma3 Visual Multimodal Large Model
  • 9. Llava Visual Multimodal Large Model
  • 10.MiniCPM-V Visual Multimodal Large Model
  • 11. Multimodal Visual Understanding Applications
  • 12. Multimodal Text-Based Image Application
  • 13. Multimodal Video Analysis Application
  • 14. Multimodal visual positioning applications
  • 15. Multimodal table scanning application
  • 16. Multimodal Autonomous Agent Application
Offline large model (Voice Interaction)
  • 0. Voice Interaction Hardware Connection (Must Read)
  • 1. Offline speech-to-text (ASR)
  • 2. Offline Text-to-Speech (TTS)
  • 3. AI large model voice interaction
  • 4. Multimodal visual understanding and voice interaction
  • 5. Multimodal Text-Based Image Application
  • 6. Multimodal Video Analysis Application
  • 7. Multimodal visual positioning applications
  • 8. Multimodal table scanning application
  • 9. Multimodal Autonomous Agent Applications
  • 10. AI large model offline voice assistant
Online large model (Text Interaction)
  • 1. OpenRouter Large Model API Aggregation Platform
  • 2. Multimodal visual understanding applications
  • 3. Multimodal visual positioning applications
  • 4. Multimodal table scanning application
  • 5. Multimodal Autonomous Agent Applications
Online large model (Voice Interaction)
  • 0. Voice Interaction Hardware Connection (Must Read)
  • 1. Online speech-to-text (ASR)
  • 2. Online Text-to-Speech (TTS)
  • 3. AI large model voice interaction
  • 4. Multimodal visual and voice interaction
  • 5. Multimodal visual positioning applications
  • 6. Multimodal table scanning application
  • 7. Multimodal Autonomous Agent Applications
  • 8. AI large model online voice assistant
20.AI large model course(Jetson NANO)
Offline large model (Text Interaction)
  • 4.Multimodal visual understand speech interaction
  • 0.AI large model system image instructions
  • 1.AI large model environment deployment
  • 2.Install large model dialogue platform
  • 3.Meta AI llama 3.2 model
  • 4.Alibaba Cloud Qwen2 model
  • 5.Alibaba Cloud Qwen3 model
  • 6.SUTD TinyLlama
  • 7.DeepSeek DeepSeek-R1 model
  • 8.Microsoft Phi-3
  • 9.Microsoft Orca Mini
  • 10.NVIDIA StarCoder2
  • 11.Google Gemma3 Visual Multimodal Large Model
  • 12.Offline Text to Speech (TTS)
  • 13.Offline Speech to Text (ASR)
Online large model (Text Interaction)
  • 1.OpenRouter large model API aggregation platform
  • 2.Multimodal visual understand application
  • 3.Multimodal visual localization application
  • 4.Multimodal table scanning application
  • 5.Multimodal autonomous proxy application
Online large model (Voice Interaction)
  • 0.Voice interaction hardware connection (ReadMe)
  • 1.Online speech-to-text (ASR)
  • 2.Online Text-to-Speech (TTS)
  • 3.AI large model voice interaction
  • 5.Multimodal visual position application
  • 6.Multimodal table scanning application
  • 7.Multimodal autonomous proxy application
  • 8.AI large model online voice assistant
21.Linux operating system course
  • 1.Introduction to Linux system
  • 2.Ubuntu file system
  • 3.Ubuntu common commands
  • 4.Ubuntu common editors
  • 5.Ubuntu software operation commands
  • 6.Virtual machine installation
  • 7.SSH remote control
  • 8.VNC remote control
  • 9.Transfer files remotely
  • 10.Driver library and communication
  • 11.Static IP and hotspot mode
  • 12.Bind device ID
  • 13.Capacity expansion and resource allocation
  • 14.Update system software sources
  • 15.Set root user password
  • 16.sudo free password
  • 17.Connect to WiFi network
  • 18.View system version
  • 19.Customized service management
  • 20.Back up system image
22.Docker course
  • 1.Docker Introduction and Installation
  • 2.Docker basic commands
  • 3.Docker Submission and Multi-Terminal Access
  • 4.Docker Startup Script
  • 5.Docker-Vscode environment construction
23.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
24.Image processing course
  • 1. Introduction to Open Source CV
  • 2. Image reading and display
  • 3. Image writing
  • 4. Image quality
  • 5. Pixel Operation
  • 6. Image zoom
  • 7. Image cutting
  • 8. Image translation
  • 9. Image Mirroring
  • 10. Affine Transformation
  • 11. Image Rotation
  • 12. Perspective Transformation
  • 13. Grayscale processing
  • 14. Image Binarization
  • 15. Edge Detection
  • 16. Line drawing
  • 17. Rectangle and circle drawing
  • 18. Drawing text and pictures
25.STM32 driver course
  • 0. Notes (must read)
  • 1. About expansion board
  • 2. STM32 Development environment
  • 3. Button control
  • 4. FreeRTOS application
  • 5. Serial communication
  • 6. SBUS model aircraft remote control
  • 7. CAN bus communication
  • 8. RGB colorful light bar
  • 9. Timer interrupt to control PWM servo
  • 10. Control serial port servos
  • 11. Nine-axis attitude sensor to obtain data
  • 12. Control motor
  • 13. Timer captures the encoder data
  • 14. Robot kinematics analysis theory
  • 15. PID control robot movement
26.Main control communication course
  • 1. Update the expansion board firmware
  • 2. Install Rosmaster driver library
  • 3. Jupyter lab basic usage tutorial
  • 4. Buzzer whistle
  • 5. Control PWM servo
  • 6. RGB colorful light bar special effects display
  • 7. Control motor
  • 8. Control robot movement
  • 9. Control Serial Servo
Download
  • Mapping_APP(iOS_Android)
  • Robot_Image_System_File
  • Code-Firmware
  • Instruction_Manual
  • MainBoard_AI_Pure_System
  • VM_File
  • Software_Tools
  • Hardware_Info
  • 3D_Model_File
Download ZIP

Welcome to ROSMASTER M1 repository

5.Network configuration

Network Configuration

Network ConfigurationWired NetworkModifying Static IP ConfigurationModifying DHCP ConfigurationModify MAC address configurationWireless NetworkStation ModeSoft AP Mode

This section mainly introduces the methods for modifying the wired and wireless network configurations of the development board.

Wired Network

The default wired network configuration of the development board uses static IP configuration, and the initial IP address is 192.168.1.10. Users can switch between static and DHCP modes by the following methods.

Modifying Static IP Configuration

The development board's static network configuration is saved in the /etc/network/interfaces file. By modifying the address, netmask, gateway, and other fields, the static IP configuration can be modified. metric is the network priority configuration, setting it to 700 is to lower the priority of the wired network. When both wired and wireless networks are enabled, the wireless network will be prioritized. For example:

xxxxxxxxxx
sudo vim /etc/network/interfaces
xxxxxxxxxx
# interfaces(5) file used by ifup(8) and ifdown(8)
# Include files from /etc/network/interfaces.d:
source-directory /etc/network/interfaces.d
auto eth0
iface eth0 inet static
    address 192.168.1.10
    netmask 255.255.255.0
    gateway 192.168.1.1 
    metric 700

 

After the modification is completed, enter the command sudo restart_network on the command line to make the configuration take effect.

Modifying DHCP Configuration

DHCP (Dynamic Host Configuration Protocol) is usually applied in local area network environments. Its main function is centralized management and allocation of IP addresses, allowing hosts in the network environment to dynamically obtain IP addresses, gateway addresses, DNS server addresses, and other information, thereby improving the utilization of addresses.

The development board's DHCP network configuration is saved in the /etc/network/interfaces file. By modifying the relevant configuration of eth0, the DHCP mode can be modified. For example:

xxxxxxxxxx
sudo vim /etc/network/interfaces

 

xxxxxxxxxx
source-directory /etc/network/interfaces.d
auto lo
iface lo inet loopback
auto eth0
iface eth0 inet dhcp
metric 700

 

After modifying, enter the sudo restart_network command in the command line to make the configuration take effect.

Modify MAC address configuration

If you need to modify the default MAC address of the development board, you can add pre-up configuration information in the /etc/network/interfaces file to specify the MAC address you need, for example:

xxxxxxxxxx
sudo vim /etc/network/interfaces

 

xxxxxxxxxx
# interfaces(5) file used by ifup(8) and ifdown(8)
# Include files from /etc/network/interfaces.d:
source-directory /etc/network/interfaces.d
auto eth0
iface eth0 inet static
    address 192.168.1.10
    netmask 255.255.255.0
    gateway 192.168.1.1 
    pre-up ifconfig eth0 hw ether 00:11:22:9f:51:27

 

After modifying, reboot to make the configuration take effect.

Wireless Network

 

The development board integrates a 2.4GHz wireless WiFi module, which supports Soft AP and Station modes, and runs in Station mode by default. The following introduces how to use the two modes.

Station Mode

In Station mode, the development board as a client and accesses the router's wireless hotspot for internet connection.

  • For users of Ubuntu Desktop version, you can click on the Wi-Fi icon in the upper right corner of the desktop, select the corresponding hotspot, and enter the password to complete the network configuration, as shown in the figure below:

image-wifi-config

  • For users of Ubuntu Server version, you can complete the wireless network configuration through the command line, following these steps:
  1. Use the sudo nmcli device wifi rescan command to scan for hotspots. If you get the following message, it means scanning is too frequent and you need to try again later:

    xxxxxxxxxx
    root@ubuntu:~# sudo nmcli device wifi rescan
    Error: Scanning not allowed immediately following previous scan.

     

  2. Use the sudo nmcli device wifi list command to list the scanned hotspots.

  3. Use the sudo wifi_connect "SSID" "PASSWD" command to connect to the hotspot. If you get the following message, it means the network connection is successful:

    xxxxxxxxxx
    root@ubuntu:~# sudo wifi_connect "WiFi-Test" "12345678" 
    Device 'wlan0' successfully activated with 'd7468833-4195-45aa-aa33-3d43da86e1a7'.

     

tip

If you receive the following message after connecting to the hotspot, it means the hotspot is not found. You can execute the sudo nmcli device wifi rescan command to rescan and reconnect.

xxxxxxxxxx
root@ubuntu:~# sudo wifi_connect "WiFi-Test" "12345678" 
Error: No network with SSID 'WiFi-Test' found.

 

Soft AP Mode

By default, the development board's wireless network runs in Station mode. To use the Soft AP mode, please follow the steps below for configuration.

  1. Install hostapd and isc-dhcp-server

    xxxxxxxxxx
    sudo apt update
    sudo apt install hostapd
    sudo apt install isc-dhcp-server

     

  2. Run the command sudo vim /etc/hostapd.conf to configure the hostapd.conf file, focusing on the following fields:

    xxxxxxxxxx
    interface=wlan0 # The network card used as an AP hotspot
    ssid=Sunrise # WiFi name
    wpa=2 # 0 for WPA, 2 for WPA2, usually 2
    wpa_key_mgmt=WPA-PSK # Encryption algorithm, usually WPA-PSK
    wpa_passphrase=12345678 # Password
    wpa_pairwise=CCMP # Encryption protocol, usually CCMP

     

    • For an open hotspot configuration, add the following content to the hostapd.conf file:
    xxxxxxxxxx
    interface=wlan0
    driver=nl80211
    ctrl_interface=/var/run/hostapd
    ssid=Sunrise
    channel=6
    ieee80211n=1
    hw_mode=g
    ignore_broadcast_ssid=0

     

    • For a hotspot with a password, add the following content to the hostapd.conf file:
    xxxxxxxxxx
    interface=wlan0
    driver=nl80211
    ctrl_interface=/var/run/hostapd
    ssid=Sunrise
    channel=6
    ieee80211n=1
    hw_mode=g
    ignore_broadcast_ssid=0
    wpa=2
    wpa_key_mgmt=WPA-PSK
    rsn_pairwise=CCMP
    wpa_passphrase=12345678

     

  3. Configure the isc-dhcp-server file as follows:

    • Execute sudo vim /etc/default/isc-dhcp-server to modify the isc-dhcp-server file and add the following definition for the network interface:
    xxxxxxxxxx
    INTERFACESv4="wlan0"

     

    • Execute sudo vim /etc/dhcp/dhcpd.conf to modify the dhcpd.conf file and uncomment the following fields:
    xxxxxxxxxx
    authoritative;

     

    • Then, add the following configuration to the end of the /etc/dhcp/dhcpd.conf file:
    xxxxxxxxxx
    subnet 10.5.5.0 netmask 255.255.255.0 { #network and subnet mask
    range 10.5.5.100 10.5.5.254;#IP range available
    option subnet-mask 255.255.255.0; #subnet mask
    option routers 10.5.5.1;#default gateway
    option broadcast-address 10.5.5.31;#broadcast address
    default-lease-time 600;#default lease time in seconds
    max-lease-time 7200;#maximum lease time in seconds
    }

     

  4. Stop the wpa_supplicant service and restart wlan0

    xxxxxxxxxx
    systemctl stop wpa_supplicant
    
    
    ip addr flush dev wlan0
    sleep 0.5
    ifconfig wlan0 down
    sleep 1
    ifconfig wlan0 up

     

  5. Start the hostapd service as follows:

    • Execute the command sudo hostapd -B /etc/hostapd.conf
    xxxxxxxxxx
    root@ubuntu:~# sudo hostapd -B /etc/hostapd.conf
    Configuration file: /etc/hostapd.conf
    Using interface wlan0 with hwaddr 08:e9:f6:af:18:26 and ssid "sunrise"
    wlan0: interface state UNINITIALIZED->ENABLED
    wlan0: AP-ENABLED

     

    • Configure the IP and subnet of wireless interface wlan0 using the ifconfig command, make sure it matches the configuration in the third step
    xxxxxxxxxx
    sudo ifconfig wlan0 10.5.5.1 netmask 255.255.255.0

     

    • Finally, start the dhcp server. Clients connecting to the hotspot will be assigned an IP address from 10.5.5.100 to 10.5.5.255
    xxxxxxxxxx
    sudo ifconfig wlan0 10.5.5.1 netmask 255.255.255.0
    sudo systemctl start isc-dhcp-server
    sudo systemctl enable isc-dhcp-server

     

  6. Connect to the hotspot on the development board, for example, sunrise

    image-20220601203025803

  7. If you need to switch back to Station mode, you can do it as follows:

    xxxxxxxxxx
    # Stop hostapd
    killall -9 hostapd
    
    
    # Clear the address of wlan0
    ip addr flush dev wlan0
    sleep 0.5
    ifconfig wlan0 down
    sleep 1
    ifconfig wlan0 up
    
    
    # Restart wpa_supplicant
    systemctl restart wpa_supplicant
    
    
    # Connect to the hotspot, for specific operation, please refer to the previous section "Wireless Network"
    wifi_connect "WiFi-Test" "12345678"

     

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