<h1>Guide to Connecting a 16x2 LCD Screen to Your Raspberry Pi for Real-Time Monitoring</h1>
In this guide, I’ll walk you through the process of connecting a 16x2 LCD screen to your Raspberry Pi. This setup will allow you to monitor system information in real-time using a custom Python script. I’ll also cover how to run the Python application in a Docker container for added convenience. We’ll even explore using Remotely, a remote access tool for your PC.
<h2>Step-by-Step Instructions</h2>
<h3>1. Gather Your Components</h3>
First, you’ll need a few components:
<ul>
<li>A Raspberry Pi (any model should work)</li>
<li>A 16x2 LCD screen (I recommend a reliable model from Freeno)</li>
<li>Jumper wires</li>
<li>Breadboard (optional)</li>
</ul>
<h3>2. Connect the LCD Screen</h3>
Follow these steps to connect the LCD to your Raspberry Pi:
<ul>
<li>Connect the VCC pin of the LCD to the 5V pin on the Raspberry Pi.</li>
<li>Connect the GND pin of the LCD to the ground (GND) pin on the Raspberry Pi.</li>
<li>Follow the <a href="https://www.raspberrypi.org/documentation/" target="_blank" rel="noopener nofollow">official Raspberry Pi documentation</a> for connecting the other pins accordingly.</li>
</ul>
<h3>3. Create the Python Script</h3>
We will use a Python script to display system information on the LCD. Here’s an example script:
<pre><code class="language-python">import I2C_LCD_driver
import socket
import psutil
import time

lcd = I2C_LCD_driver.lcd()

while True:
 ip_address = socket.gethostbyname(socket.gethostname())
 hostname = socket.gethostname()
 cpu_usage = psutil.cpu_percent()
 mem_usage = psutil.virtual_memory().percent
 disk_usage = psutil.disk_usage(&#x27;/&#x27;).percent

 lcd.lcd_display_string(f&#x27;IP: {ip_address}&#x27;, 1)
 lcd.lcd_display_string(f&#x27;CPU: {cpu_usage}% Mem: {mem_usage}%&#x27;, 2)
 lcd.lcd_display_string(f&#x27;Disk: {disk_usage}%&#x27;, 2, 13)
 lcd.lcd_display_string(f&#x27;Host: {hostname}&#x27;, 2, 13)

 time.sleep(5)
</code></pre>
<h3>4. Run the Script in a Docker Container</h3>
To simplify the deployment of our script, we can run it in a Docker container. Here are the steps:
<ul>
<li>Create a <code>Dockerfile</code> for our Python application:</li>
</ul>
<pre><code class="language-Dockerfile">FROM python:3.7-slim

WORKDIR /app

COPY . .

RUN pip install psutil

CMD [&quot;python&quot;, &quot;script.py&quot;]
</code></pre>
<ul>
<li>Build and run the Docker container:</li>
</ul>
<pre><code class="language-sh">docker build -t raspberrypi-lcd .
docker run -d --name lcd-container raspberrypi-lcd
</code></pre>
<h3>5. Optional: Using Remotely</h3>
For remote access to your Raspberry Pi, you can use Remotely. This is a helpful tool for managing your system from a distance, and its detailed setup can be found on their <a href="https://remotely.tech/" target="_blank" rel="noopener nofollow">official website</a>.
<h2>Conclusion</h2>
By following these steps, you can create a real-time monitoring system for your Raspberry Pi using a 16x2 LCD screen. This can be extremely useful for keeping track of your system’s performance and status at a glance. Enjoy tinkering with your Raspberry Pi and happy monitoring!

Collections

Learn how to connect a 16x2 LCD screen to your Raspberry Pi for real-time monitoring. Follow step-by-step instructions to gather components, connect the screen, create a Python script to display system information, and run the script in a Docker container. Optionally, use Remotely for remote access to your Raspberry Pi.