Use the Pagoda panel to configure artificial intelligence application servers such as UAV and AR

With the continuous development of artificial intelligence technology, more and more applications are beginning to involve AI technology, such as: robots, Internet of Things, autonomous driving, etc. In order to support these applications, a powerful server needs to be configured and managed using a professional panel. This article will introduce how to use the Pagoda panel to configure artificial intelligence application servers such as UAV and AR.

1. Preparation work
Before starting to configure the server, you need to complete the following preparation work:
1. Choose a suitable server. It is recommended to choose a 4-core 8GB or above configuration to ensure that the server performance.
2. Install the Pagoda panel, register an account and log in to the panel.
3. The server needs to enable the remote connection function.

2. Install the operating environment
Configuring artificial intelligence applications such as UAV and AR requires the installation of some necessary operating environments, such as ROS, Python, etc. These environments can be installed through one-click deployment in the Pagoda panel. The following is an introduction using the installation of ROS as an example.
1. Enter the Pagoda panel and click on App Store.
2. Enter ROS in the search box, find the corresponding software package and install it. After the installation is complete, click Start.
3. After successful startup, you can use ROS related commands for testing.

3. Install applications
After installing the necessary operating environment, you need to install artificial intelligence applications such as UAV and AR. Normally, these applications need to be installed through compilation, and some compilation-related environments need to be configured in the Pagoda panel. The following is an introduction using the UAV project installation as an example.
1. Use software such as FileZilla to transfer the UAV project to the /usr/src directory of the server.
2. Enter the Pagoda panel, find the environment switch on the left panel, select the corresponding development environment, and click OK.
3. Enter Extensions and Tools in the left panel, find the compilation tool, and install it.
4. Enter the shell window, switch to the UAV installation directory, and run the make command to compile.
5. After the compilation is successful, you can run the relevant commands for testing.

4. Configure services and ports
After installing the operating environment and applications, you need to configure related services and ports to allow the applications to run normally. The following uses ROS as an example to introduce.
1. Enter the Pagoda panel, find the website in the left panel, and click Create Site.
2. Select ROS in the interface for creating a site, fill in the relevant information, and set the port number.
3. Enter the security group settings and open TCP 80 and TCP 443 ports.
4. Enter the router settings and map TCP 80 and TCP 443 ports to the server’s IP address.

5. Deploy the application
After completing the above steps, you can deploy the application to the server. Before deployment, some parameters need to be set, such as IP address, port number, user name and password, etc. The following is an introduction using the UAV project as an example.
1. Enter the UAV installation directory, find the config.cfg file, and edit it.
2. In the config.cfg file, set the corresponding parameters, such as IP address, port number, user name and password, etc.
3. Run the UAV startup command and test it.

6. Summary
Through the above steps, you can easily configure UAV, AR and other artificial intelligence application servers in the Pagoda panel, and establish a complete UAV, AR and other artificial intelligence application platforms. During use, you need to pay attention to some security-related issues, such as setting complex passwords, properly setting access authorization, etc. At the same time, parameters need to be adjusted and optimized according to the actual situation to ensure the stable operation of the application.

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