85 x 56 mm
85 x 56 mm
0C to 50C
USB-C (5V, 3A)
40-pin header (GPIO, I2C, SPI, UART, I2S)
1x HDMI 2.0 (4K at 60Hz), 1x DSI display connector
1x Camera Serial Interface (CSI) connector
MicroSD card slot (up to 1TB)
Certifications and Compliance
| The Raspberry Pi 5 Model 8GB RAM meets various certifications and compliance standards, including |
Conformit Europene (European Conformity)
Federal Communications Commission (USA)
Restriction of Hazardous Substances (EU)
Waste Electrical and Electronic Equipment (EU)
Conclusion
The Raspberry Pi 5 Model 8GB RAM offers a powerful and feature-rich platform for a wide range of applications, from DIY projects to industrial automation and IoT development. With its enhanced processing power, increased memory capacity, and improved connectivity, it is an ideal choice for demanding projects that require high performance, reliability, and versatility.
Raspberry Pi 5 Model 8GB RAMThe Raspberry Pi 5 Model 8GB RAM is a powerful and compact single-board computer (SBC) that is ideal for a wide range of Internet of Things (IoT) applications. With its 8GB of RAM, quad-core Cortex-A72 CPU, and extensive peripheral capabilities, this board provides a robust platform for prototyping and developing innovative IoT projects.Technical Specifications:Processor: Broadcom BCM2711B0 quad-core Cortex-A72 CPU
RAM: 8GB LPDDR4-2400 SDRAM
Storage: MicroSD card slot
Operating System: Raspberry Pi OS (based on Linux)
Connectivity: Dual-band 802.11ac wireless LAN, Bluetooth 5.0, Gigabit Ethernet, USB 3.0, HDMI 2.0
GPIO: 40-pin header with GPIO, I2C, SPI, UART, and I2S interfacesCode Examples:### Example 1: Reading Temperature and Humidity using DHT11 SensorThis example demonstrates how to use the Raspberry Pi 5 Model 8GB RAM to read temperature and humidity data from a DHT11 sensor.Hardware Requirements:Raspberry Pi 5 Model 8GB RAM
DHT11 temperature and humidity sensor
Breadboard and jumper wiresSoftware Requirements:Raspberry Pi OS (latest version)
Python 3.x installed on the Raspberry Pi
DHT11 library for Python (install using `pip install dht11`)Code:
```python
import dht11# Initialize the DHT11 sensor
dht_sensor = dht11.DHT11(pin=17) # Pin 17 is used for data communicationwhile True:
# Read temperature and humidity data from the sensor
temperature = dht_sensor.read_temperature()
humidity = dht_sensor.read_humidity()# Print the data to the console
print(f"Temperature: {temperature}C, Humidity: {humidity}%")# Wait for 1 second before taking the next reading
time.sleep(1)
```
### Example 2: Controlling an LED using GPIO and PythonThis example demonstrates how to use the Raspberry Pi 5 Model 8GB RAM to control an LED using the GPIO interface and Python.Hardware Requirements:Raspberry Pi 5 Model 8GB RAM
LED (any color)
1 k resistor
Breadboard and jumper wiresSoftware Requirements:Raspberry Pi OS (latest version)
Python 3.x installed on the Raspberry Pi
RPi.GPIO library for Python (install using `pip install RPi.GPIO`)Code:
```python
import RPi.GPIO as GPIO# Set up the GPIO mode to BCM
GPIO.setmode(GPIO.BCM)# Define the LED pin as an output
led_pin = 18
GPIO.setup(led_pin, GPIO.OUT)try:
while True:
# Toggle the LED on and off
GPIO.output(led_pin, GPIO.HIGH)
time.sleep(0.5)
GPIO.output(led_pin, GPIO.LOW)
time.sleep(0.5)except KeyboardInterrupt:
# Clean up the GPIO resources
GPIO.cleanup()
```
### Example 3: Streaming Video using Camera Module and OpenCVThis example demonstrates how to use the Raspberry Pi 5 Model 8GB RAM to capture and stream video using the Camera Module and OpenCV.Hardware Requirements:Raspberry Pi 5 Model 8GB RAM
Raspberry Pi Camera Module
MicroUSB camera cableSoftware Requirements:Raspberry Pi OS (latest version)
Python 3.x installed on the Raspberry Pi
OpenCV library for Python (install using `pip install opencv-python`)Code:
```python
import cv2# Initialize the camera
cap = cv2.VideoCapture(0)while True:
# Capture a frame from the camera
ret, frame = cap.read()# Convert the frame to grayscale
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)# Display the grayscale frame
cv2.imshow('Grayscale Video', gray)# Exit on key press
if cv2.waitKey(1) & 0xFF == ord('q'):
break# Release the camera resources
cap.release()
cv2.destroyAllWindows()
```
These examples demonstrate the versatility and capability of the Raspberry Pi 5 Model 8GB RAM in various IoT applications. Whether it's reading sensor data, controlling peripherals, or streaming video, this SBC is an excellent choice for prototyping and developing innovative projects.