The Raspberry Pi 5 is a powerful, versatile single-board computer that has gained significant traction in various fields, including industrial applications and electric vehicles in 2025. There’s a lot more that we could do with these tiny singleboard computers that we have explained below in great details. With its enhanced processing power, ample GPIO pins, and robust community support, the Raspberry Pi 5 offers an excellent platform for innovation and development in these sectors.
#1 Industrial Applications
(i) Automation & Control Systems
Raspberry Pi 5 can be employed to automate and control a range of industrial processes. The GPIO pins enable you to connect various sensors and actuators to the Pi, allowing for precise control over cisco servers, machinery and other IT equipment. For instance, you can monitor temperature, pressure, and humidity levels in a manufacturing environment and make real-time adjustments to maintain optimal conditions.
(ii) Example Use Case
Automated Conveyor System: Integrate Raspberry Pi 5 with proximity sensors and motors to create an automated conveyor belt system. Use the Pi to control motor speed and direction based on sensor inputs, ensuring efficient material handling.
Code Example:
#include <wiringPi.h>
int main() {
wiringPiSetup();
pinMode(1, OUTPUT); // Motor control pin
pinMode(2, INPUT); // Sensor input pin
while (1) {
if (digitalRead(2) == HIGH) {
digitalWrite(1, HIGH); // Start motor
} else {
digitalWrite(1, LOW); // Stop motor
}
delay(100);
}
return 0;
}
#2 Data Logging/Analysis
The Raspberry Pi 5 can serve as an excellent platform for data logging and analysis. By connecting the Pi to various sensors, you can collect data over time and use it to optimize processes, predict maintenance needs, and improve overall efficiency.
Example Use Case
Environmental Monitoring: Deploy Raspberry Pi 5 in a factory to monitor environmental conditions. Use sensors to track temperature, humidity, and air quality, and log the data for analysis.
Code Example:
import time
import Adafruit_DHT
sensor = Adafruit_DHT.DHT22
pin = 4
while True:
humidity, temperature = Adafruit_DHT.read_retry(sensor, pin)
if humidity is not None and temperature is not None:
with open(‘data_log.csv’, ‘a’) as file:
file.write(f'{time.time()},{temperature},{humidity}\n’)
time.sleep(60)
#3 Remote Monitoring Etc.
The Raspberry Pi 5’s network capabilities enable remote monitoring and maintenance of industrial equipment. By connecting the Pi to the internet, you can access real-time data, perform diagnostics, and control equipment from anywhere in the world.
Example Use Case
Remote Machinery Monitoring: Use Raspberry Pi 5 to monitor machinery in a remote location. Set up the Pi to send alerts if any parameters fall outside of the desired range, allowing for proactive maintenance.
Code Example:
import smtplib
def send_alert(message):
server = smtplib.SMTP(‘smtp.example.com’, 587)
server.starttls()
server.login(‘[email protected]’, ‘password’)
server.sendmail(‘[email protected]’, ‘[email protected]’, message)
server.quit()
# Assume we have a function check_machinery_status() that returns a status string
status = check_machinery_status()
if status != ‘OK’:
send_alert(f’Alert: Machinery status is {status}’)
#4 Electric Cars
(i) Vehicle Diagnostics
Raspberry Pi 5 can be used to monitor and diagnose various aspects of an electric car, such as battery status, motor performance, and overall vehicle health. By integrating the Pi with the car’s onboard diagnostics system, you can collect real-time data and perform detailed analysis.
Example Use Case
(i) Battery Management System – Monitor the state of charge (SOC) and health (SOH) of an electric car battery using Raspberry Pi 5. Collect data on voltage, current, and temperature to ensure optimal battery performance and longevity.
Code Example
import obd
connection = obd.OBD()
cmd = obd.commands.BATTERY_VOLTAGE
while True:
response = connection.query(cmd)
if response.value:
voltage = response.value
print(f’Battery Voltage: {voltage}V’)
time.sleep(1)
(ii) Infotainment Systems
Raspberry Pi 5 can be used to create custom infotainment systems for electric cars. By connecting the Pi to the car’s display and audio system, you can provide a rich user experience with navigation, media playback, and vehicle information.
Example Use Case
Custom Dashboard – Build a custom dashboard for an electric car using Raspberry Pi 5. Display information such as speed, battery level, and navigation on a touchscreen display.
Code Example
import tkinter as tk
root = tk.Tk()
root.title(“Car Dashboard”)
speed_label = tk.Label(root, text=”Speed: 0 km/h”)
speed_label.pack()
battery_label = tk.Label(root, text=”Battery: 100%”)
battery_label.pack()
def update_dashboard():
# Assume we have functions get_speed() and get_battery_level()
speed = get_speed()
battery = get_battery_level()
speed_label.config(text=f”Speed: {speed} km/h”)
battery_label.config(text=f”Battery: {battery}%”)
root.after(1000, update_dashboard)
update_dashboard()
root.mainloop()
(iii) Autonomous Driving
Raspberry Pi 5 can be utilized in the development of autonomous driving systems. By interfacing with sensors such as cameras and lidar, the Pi can process environmental data and make driving decisions in real-time.
Example Use Case
Lane Detection System – Use Raspberry Pi 5 to implement a lane detection system. Process camera feed to detect lane markings and provide steering inputs to keep the car within the lanes.
Code Example
import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray, 50, 150)
lines = cv2.HoughLinesP(edges, 1, np.pi/180, 50, maxLineGap=50)
if lines is not None:
for line in lines:
x1, y1, x2, y2 = line[0]
cv2.line(frame, (x1, y1), (x2, y2), (0, 255, 0), 5)
cv2.imshow(‘Lane Detection’, frame)
if cv2.waitKey(1) & 0xFF == ord(‘q’):
break
cap.release()
cv2.destroyAllWindows()
#5 Getting Started
(i) Hardware Requirements
- Raspberry Pi 5
- Sensors and actuators (e.g., temperature sensors, humidity sensors, motors)
- Display and audio system (for infotainment systems)
- Internet connection (for remote monitoring and maintenance)
- Camera and lidar (for autonomous driving)
(ii) Software Requirements
- Raspberry Pi OS
- Python or C/C++ programming language
- Libraries for GPIO control, data logging, and communication (e.g., RPi.GPIO, PySerial)
- OpenCV (for computer vision tasks)
- OBD-II library (for vehicle diagnostics)
(iii) Installation and Setup
- Install Raspberry Pi OS: Download and install the latest version of Raspberry Pi OS on your Raspberry Pi 5
- Connect Sensors and Actuators: Connect the necessary sensors and actuators to the GPIO pins of Raspberry Pi 5.
- Install Libraries: Install the required libraries for GPIO control, data logging, communication, computer vision, and vehicle diagnostics
- Write Code: Write the necessary code to control the sensors and actuators, log data, perform diagnostics, and implement autonomous driving features.