Arduino vs Raspberry Pi: Complete Comparison Guide 2025

#include <DHT.h>
#include <LiquidCrystal.h>

#define DHT_PIN 2
#define DHT_TYPE DHT22

DHT dht(DHT_PIN, DHT_TYPE);
LiquidCrystal lcd(12, 11, 5, 4, 3, 2);

void setup() {
  Serial.begin(9600);
  dht.begin();
  lcd.begin(16, 2);
  lcd.print("Temp Monitor");
}

void loop() {
  float temperature = dht.readTemperature();
  float humidity = dht.readHumidity();
  
  if (!isnan(temperature) && !isnan(humidity)) {
    lcd.clear();
    lcd.setCursor(0, 0);
    lcd.print("Temp: ");
    lcd.print(temperature);
    lcd.print("C");
    
    lcd.setCursor(0, 1);
    lcd.print("Humidity: ");
    lcd.print(humidity);
    lcd.print("%");
    
    Serial.print("Temperature: ");
    Serial.print(temperature);
    Serial.print("°C, Humidity: ");
    Serial.print(humidity);
    Serial.println("%");
  }
  
  delay(2000);
}

import cv2
import numpy as np
from picamera import PiCamera
import time
import smtplib
from email.mime.text import MIMEText

class SmartCamera:
    def __init__(self):
        self.camera = PiCamera()
        self.camera.resolution = (640, 480)
        self.face_cascade = cv2.CascadeClassifier(
            '/usr/share/opencv4/haarcascades/haarcascade_frontalface_default.xml'
        )
    
    def detect_motion(self):
        # Capture background frame
        background = self.capture_frame()
        
        while True:
            current_frame = self.capture_frame()
            diff = cv2.absdiff(background, current_frame)
            gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY)
            blur = cv2.GaussianBlur(gray, (5, 5), 0)
            _, thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY)
            
            # Find contours
            contours, _ = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
            
            for contour in contours:
                if cv2.contourArea(contour) > 1000:
                    self.send_alert("Motion detected!")
                    break
            
            time.sleep(1)
    
    def capture_frame(self):
        # Capture frame from camera
        frame = np.empty((480, 640, 3), dtype=np.uint8)
        self.camera.capture(frame, 'bgr')
        return frame
    
    def send_alert(self, message):
        # Send email notification
        print(f"ALERT: {message}")
        # Email sending code here

if __name__ == "__main__":
    smart_cam = SmartCamera()
    smart_cam.detect_motion()