Raspberry Pi 4 Model B 8 GB RAM
Raspberry Pi 4 Model B 8 GB RAM
The Raspberry Pi 4 Model B 8 GB RAM is a credit-card sized, single-board computer designed for a wide range of applications, from robotics and artificial intelligence to home automation and IoT development. This compact device is the fourth generation of the Raspberry Pi series, offering significant upgrades in processing power, memory, and connectivity compared to its predecessors.
| The Raspberry Pi 4 Model B 8 GB RAM is a fully functional computer that can run a variety of operating systems, including Raspbian, Ubuntu, and Windows 10 IoT. It is capable of |
Running multiple applications simultaneously
Supporting high-definition video playback and graphics rendering
Enabling wireless communication through Wi-Fi and Bluetooth 5.0
Providing multiple interfaces for connectivity and expansion
Quad-core Cortex-A72 (ARM v8) 64-bit SoC processor
1.8 GHz
8 GB LPDDR4-3200 SDRAM
MicroSD card slot for booting and storage
Supports up to 2 TB of storage capacity
Dual HDMI ports supporting up to 4K resolution at 60 Hz
Support for H.265 and VP9 video decoding
OpenGL ES 3.0, Vulkan, and OpenCL support
2.4 GHz and 5 GHz IEEE 802.11b/g/n/ac Wi-Fi
Bluetooth 5.0
Gigabit Ethernet (RJ45)
2 x USB 3.0 ports
2 x USB 2.0 ports
40-pin GPIO header for connecting sensors, actuators, and other devices
4-pole stereo audio jack
Composite video output
Camera interface (CSI) for connecting Raspberry Pi cameras
5V, 3A recommended
Supports USB-C power delivery
Compatible with Raspbian, Ubuntu, Windows 10 IoT, and other operating systems
On-board security features include a secure boot mechanism and a cryptographic engine
85 mm x 56 mm x 12 mm (3.37 in x 2.22 in x 0.47 in)
45 grams (1.59 oz)
0C to 50C (32F to 122F)
Raspberry Pi official documentation and tutorials
Community-driven forums and support resources
Extensive library of compatible accessories and peripherals
The Raspberry Pi 4 Model B 8 GB RAM is an excellent choice for a wide range of projects, from IoT development and automation to multimedia centers and retro gaming consoles. Its small form factor, low power consumption, and affordability make it an attractive option for both professionals and hobbyists alike.
Raspberry Pi 4 Model B 8 GB RAM DocumentationOverviewThe Raspberry Pi 4 Model B 8 GB RAM is a single-board computer designed for IoT applications, robotics, and other projects. This credit-card-sized computer is equipped with a quad-core Cortex-A72 CPU, 8 GB of RAM, and a range of interfaces for connecting peripherals.Technical SpecificationsProcessor: Broadcom BCM2711B0 quad-core Cortex-A72 CPU
RAM: 8 GB LPDDR4-3200
Storage: microSD card slot
Operating System: Raspberry Pi OS, Ubuntu, Windows 10 IoT, and other Linux distributions
Networking: Dual-band 802.11ac Wi-Fi, Bluetooth 5.0, Gigabit Ethernet
Interfaces: 2x USB 3.0, 2x USB 2.0, HDMI, 3.5mm audio jack, 15-pin MIPI CSI camera interface, 15-pin MIPI DSI display interface
Power: 5V DC, 3A power consumptionProgramming and DevelopmentThe Raspberry Pi 4 Model B 8 GB RAM can be programmed using various languages, including Python, C++, Java, and Scratch. The Raspbian operating system, a variant of Linux, is the official OS for the Raspberry Pi.Code Examples### Example 1: Python Script for LED BlinkingThis example demonstrates how to use the Raspberry Pi 4 Model B 8 GB RAM to blink an LED connected to GPIO pin 17.```python
import RPi.GPIO as GPIO
import time# Set up GPIO mode
GPIO.setmode(GPIO.BCM)# Set up GPIO pin 17 as an output
GPIO.setup(17, GPIO.OUT)while True:
# Turn on the LED
GPIO.output(17, GPIO.HIGH)
time.sleep(1)
# Turn off the LED
GPIO.output(17, GPIO.LOW)
time.sleep(1)
```### Example 2: IoT Weather Station using Python and DHT11 SensorThis example demonstrates how to use the Raspberry Pi 4 Model B 8 GB RAM to create an IoT weather station using a DHT11 temperature and humidity sensor.```python
import RPi.GPIO as GPIO
import time
import requests# Set up GPIO mode
GPIO.setmode(GPIO.BCM)# Set up GPIO pin 4 as an input for DHT11
GPIO.setup(4, GPIO.IN)while True:
# Read temperature and humidity data from DHT11
humidity, temperature = dht.read_retry(dht.DHT11, 4)
# Print temperature and humidity data
print("Temperature: {:.1f}C Humidity: {:.1f}%".format(temperature, humidity))
# Send data to IoT platform or cloud service using HTTP request
url = "https://example.com/weather_data"
data = {"temperature": temperature, "humidity": humidity}
response = requests.post(url, json=data)
# Wait for 1 minute before taking the next reading
time.sleep(60)
```### Example 3: Camera Capture using OpenCV and PythonThis example demonstrates how to use the Raspberry Pi 4 Model B 8 GB RAM to capture images using the Raspberry Pi camera module and OpenCV library.```python
import cv2# Initialize the camera
cap = cv2.VideoCapture(0)while True:
# Capture a frame
ret, frame = cap.read()
# Display the frame
cv2.imshow("Camera Capture", frame)
# Exit on key press
if cv2.waitKey(1) & 0xFF == ord("q"):
break# Release the camera and close all OpenCV windows
cap.release()
cv2.destroyAllWindows()
```Note: These examples are just a starting point, and you may need to modify them to suit your specific project requirements. Additionally, ensure you have the necessary permissions and libraries installed to run these examples.