Quad-core Cortex-A72 ( ARMv8) 64-bit SoC @ 1.5GHz
Quad-core Cortex-A72 ( ARMv8) 64-bit SoC @ 1.5GHz
Broadcom VideoCore VI
8GB LPDDR4 RAM
MicroSD card slot (compatible with up to 2TB cards)
Kit Components
A high-quality, injection-molded case designed specifically for the Raspberry Pi 4, providing protection and aesthetics to your project.
A 5V, 3A DC power adapter, suitable for powering the Raspberry Pi 4 and its peripherals.
A high-performance heatsink designed to dissipate heat efficiently, ensuring stable operation and prolonging the lifespan of your Raspberry Pi 4.
A 1-meter HDMI cable, allowing you to connect your Raspberry Pi 4 to a monitor or display.
A 1-meter Ethernet cable, providing a wired network connection for your Raspberry Pi 4.
| 32 GB SD Card | A pre-installed 32 GB microSD card, providing ample storage for your operating system, applications, and data. |
A selection of sensors, including temperature, humidity, and motion sensors, to help you build interactive and responsive IoT projects.
A comprehensive user manual, providing detailed instructions and tutorials to help you get started with your Raspberry Pi 4 and the included components.
Key Features
Dual-band 802.11ac wireless LAN, Bluetooth 5.0, and Gigabit Ethernet
USB 3.0 and USB 2.0 ports for peripheral connectivity
HDMI 2.0a output, supporting 4Kp60 and HDR
40-pin GPIO header for custom project development
camera interface (CSI) and display interface (DSI) for camera and display modules
Compatible with a wide range of operating systems, including Raspbian, Ubuntu, and Windows 10 IoT
Applications
| The Raspberry Pi 4 8GB Model B Ultimate Kit is suitable for a wide range of applications, including |
Home automation, industrial automation, and wearable devices
Autonomous robots, robotic arms, and robotic platforms
Media streaming, video playback, and digital signage
Emulation of classic console and arcade games
STEM education, programming, and computer science
Specifications
0C to 50C
5V, 3A DC
85mm x 56mm x 17mm (L x W x H)
By providing a comprehensive bundle of components and accessories, the Raspberry Pi 4 8GB Model B Ultimate Kit offers a convenient and cost-effective way to get started with IoT development, prototyping, and deployment.
Raspberry Pi 4 8GB Model B Ultimate Kit DocumentationOverviewThe Raspberry Pi 4 8GB Model B Ultimate Kit is a comprehensive bundle designed to get you started with IoT projects immediately. This kit includes:Raspberry Pi 4 8GB Model B single-board computer
Protective case
Power adapter
Heatsink for thermal management
HDMI cable for display output
Ethernet cable for wired connectivity
32 GB SD card for storage
Assorted sensors for environmental monitoring
Detailed manual for setup and configurationHardware SpecificationsRaspberry Pi 4 8GB Model B:
+ Quad-core Cortex-A72 CPU
+ 8 GB RAM
+ Dual-band 802.11ac wireless LAN
+ Bluetooth 5.0
+ 2x USB 3.0 ports
+ 2x USB 2.0 ports
+ HDMI 2.0a port
+ Ethernet port
+ 40-pin GPIO header
Sensors:
+ Temperature and humidity sensor
+ Light sensor
+ Motion sensorSoftware SetupTo get started with the Raspberry Pi 4, you'll need to install an operating system on the SD card. Recommended options include Raspbian, Ubuntu, and Windows 10 IoT Enterprise.Code Examples### Example 1: Environmental Monitoring with Sensor ReadingsThis example demonstrates how to use the temperature and humidity sensor to collect and display data on a web interface using Python and Flask.HardwareRaspberry Pi 4 8GB Model B
Temperature and humidity sensor (e.g., DHT11)SoftwareRaspbian OS
Python 3.x
Flask web frameworkCode
```python
import Adafruit_DHT
from flask import Flask, jsonifyapp = Flask(__name__)# Set up sensor
DHT_SENSOR = Adafruit_DHT.DHT11
DHT_PIN = 4@app.route('/readings')
def get_readings():
humidity, temperature = Adafruit_DHT.read(DHT_SENSOR, DHT_PIN)
return jsonify({'temperature': temperature, 'humidity': humidity})if __name__ == '__main__':
app.run(debug=True)
```
Instructions1. Connect the temperature and humidity sensor to the Raspberry Pi's GPIO pins.
2. Install the required Python libraries using `pip install Adafruit_DHT flask`.
3. Run the code using `python app.py`.
4. Access the web interface by visiting `http://<Raspberry Pi IP address>:5000/readings` in your browser.### Example 2: Motion Detection with Camera and Email NotificationThis example demonstrates how to use the motion sensor and Raspberry Pi camera to capture images when motion is detected and send notifications via email using Python and the Camera library.HardwareRaspberry Pi 4 8GB Model B
Motion sensor (e.g., PIR sensor)
Raspberry Pi camera moduleSoftwareRaspbian OS
Python 3.x
Camera library
smtplib for email notificationsCode
```python
import RPi.GPIO as GPIO
import picamera
import smtplib
from email.mime.text import MIMEText# Set up GPIO pins
GPIO.setmode(GPIO.BCM)
GPIO.setup(17, GPIO.IN, pull_up_down=GPIO.PUD_UP)# Set up camera
camera = picamera.PiCamera()def send_email(image_path):
# Set up email server and credentials
server = smtplib.SMTP('smtp.gmail.com', 587)
server.starttls()
server.login('your_email_address', 'your_email_password')# Create email message
msg = MIMEText('Motion detected!')
msg['Subject'] = 'Motion Detection Alert'
msg['From'] = 'your_email_address'
msg['To'] = 'recipient_email_address'# Attach image
with open(image_path, 'rb') as f:
msg.attach(MIMEApplication(f.read(), 'octet-stream'))# Send email
server.sendmail('your_email_address', 'recipient_email_address', msg.as_string())
server.quit()def capture_image():
# Capture image
camera.capture('image.jpg')# Send email with image
send_email('image.jpg')# Detect motion and capture image
while True:
if GPIO.input(17):
capture_image()
time.sleep(1)
```
Instructions1. Connect the motion sensor to the Raspberry Pi's GPIO pins.
2. Install the required Python libraries using `pip install RPi.GPIO picamera`.
3. Configure the email server settings and credentials.
4. Run the code using `python app.py`.These examples demonstrate the capabilities of the Raspberry Pi 4 8GB Model B Ultimate Kit and provide a starting point for your IoT projects.