We can remotely access the Command Prompt of the RPi board using various software from Windows. We can run all the Linux commands that do not involve the GUI remotely from Windows. As you may recall, we discussed how to enable SSH with the Raspberry Pi Configuration tool in Chapter 1, Introduction to Computer Vision and Raspberry Pi. It enables remote login through SSH.

In order to get started, follow these steps:

1. First, we need to install any SSH software available for free. The most popular is PuTTY (https://www.putty.org/). I prefer to use another popular SSH client that comes with SFTP known as the Bitvise SSH client. You can download the installation file for Windows from https://www.bitvise.com/ssh-client-download and install it. After doing that, open the Bitvise SSH client. The following window will appear:

   Figure 2.1 – Bitwise Connection window

   Enter a hostname, username, and password. The hostname is nothing but the...

The Bitvise SSH client is great for file transfers and accessing the Command Prompt terminal of RPi. However, we need to use another piece of software to access the desktop of RPi remotely. There are two methods we can follow. The first one is VNC (we learned how to enable it in Chapter 1, Introduction to Computer Vision and Raspberry Pi, using the Raspberry Pi Configuration tool), while the other is using Windows' built-in Remote Desktop Connection utility. We can find it in the Windows search bar, as follows:


Figure 2.5 – Remote Desktop Connection option in the Windows search bar

But before we can use it, we need to install xrdp on the RPi. Installing it is very easy. We just need to run the following command at LXTerminal on the RPi:

sudo apt-get install xrdp -y

Information

You might want to read more about xrdp at http://xrdp.org/.

Once xrdp has been installed on the RPi, you need to follow these steps...

Follow these steps to install OpenCV on the RPi:

1. First, we need to install a few dependencies. Run the following command to install all these dependencies:

   sudo apt-get install -y libhdf5-dev libhdf5-serial-dev libatlas-base-dev libjasper-dev libqtgui4 libqt4-test

2. Once the installation is successful, we can install OpenCV on the RPi:

   pip3 install opencv-python==4.0.1.24

3. Once the installation of OpenCV is successful, we can verify it by running the following command:

   python3 -c "import cv2; print(cv2.__version__)"

   The following should be the output:

   4.0.1

This means that the installation is completed and that we can import OpenCV in our Python 3 programs.

Next, we will learn how to overclock the RPi 4B and how to install heatsink on it.

Overclocking means running the processors at higher speeds than those that are intended. When we overclock the processors, their temperature tends to rise and they radiate more heat. Raspberry Pi board models do not come with any built-in coolers. You can buy passive heatsinks from many online shops such as Amazon. The following is an example of a heatsink with a fan:

Figure 2.9 – Small heatsink for RPi

The heatsink fan can be powered by connecting it to a 5V or 3.3V power supply. The speed of the fan depends on the voltage, and we can connect it to the RPi power pins. We will learn more about the GPIO and the power pins of RPi in the next chapter. The best and the most effective heatsink that I found was the ICE Tower fan for the RPi 4B (https://www.seeedstudio.com/ICE-Tower-CPU-Cooling-Fan-for-Raspberry-pi-Support-Pi-4-p-4097.html).

The following is my own Pi with the ICE Tower mounted on it:

In this chapter, we learned how to remotely log into the RPi and how to access the RPi desktop remotely with RDP. We also learned how to install OpenCV and how to verify it. Also, we learned how to overclock an RPi board.

We will be using all the skills we learned in this chapter throughout this book for accessing the Command Prompt and desktop of Raspbian OS remotely while writing programs for computer vision. We will also use file transfer quite a few times, as well as the OpenCV library in most programs.

In the next chapter, we will learn the basics of Python, NumPy, matplotlib, and the RPi GPIO library. We will also learn about the SciPy ecosystem.