<5W (typical), <10W (max)
Support for USB Power Delivery (PD)
Integrated power management IC (PMIC) for efficient power delivery
Compatible with Raspberry Pi OS (based on Linux)
Supports other Linux distributions, such as Ubuntu and openSUSE
Potential for Windows 10 IoT Enterprise and other operating systems with additional development
0C to 80C
Thermal interface material (TIM) for efficient heat dissipation
Secure boot process with encryption and signing
Support for TPM (Trusted Platform Module) and cryptographic accelerators
CE, FCC, and TELEC certifications
Compliance with RoHS and REACH directives
Conclusion
The Raspberry Pi Compute Module 4 with 1GB RAM and 32GB eMMC is a powerful and feature-rich embedded system module, ideal for a wide range of industrial and commercial applications. Its compact size, versatility, and high-performance capabilities make it an attractive solution for OEMs, engineers, and IoT developers looking to create innovative and reliable products.
Raspberry Pi Compute Module 4 with 1GB RAM 32GB eMMC DocumentationOverviewThe Raspberry Pi Compute Module 4 (CM4) with 1GB RAM and 32GB eMMC is a powerful and compact system-on-module (SoM) designed for industrial and commercial applications. It is a cost-effective and highly customizable solution for developing IoT projects, robots, and other embedded systems.FeaturesBroadcom BCM2711B0 quad-core Cortex-A72 CPU
1GB LPDDR4-2400 SDRAM
32GB eMMC flash storage
Dual-band 802.11ac wireless LAN and Bluetooth 5.0
Gigabit Ethernet
HDMI 2.0a, USB 3.0, and UART interfaces
Supports multiple operating systems, including Raspbian, Ubuntu, and Yocto ProjectGetting StartedTo get started with the Raspberry Pi Compute Module 4, you'll need:A Raspberry Pi Compute Module 4 with 1GB RAM 32GB eMMC
A compatible carrier board (e.g., Raspberry Pi IO Board or a custom design)
Power supply (5V, 2.5A recommended)
MicroSD card (for booting and additional storage)
HDMI display and peripherals (optional)Code Examples### Example 1: Python Script for Reading Temperature and Humidity using DHT11 SensorIn this example, we'll use the Raspberry Pi Compute Module 4 to read temperature and humidity data from a DHT11 sensor using Python.Hardware RequirementsDHT11 temperature and humidity sensor
Breadboard and jumper wiresSoftware RequirementsRaspbian operating system
Python 3.x
DHT11 library for PythonCode
```python
import Adafruit_DHT
import time# Set up DHT11 sensor
dht_sensor = Adafruit_DHT.DHT11# Set pin for DHT11 data pin
dht_pin = 17while True:
# Read temperature and humidity data
humidity, temperature = Adafruit_DHT.read_retry(dht_sensor, dht_pin)# Print data to console
print("Temperature: {:.1f}C, Humidity: {:.1f}%".format(temperature, humidity))# Wait 1 second before taking the next reading
time.sleep(1)
```
### Example 2: C++ Program for Controlling LEDs using GPIOIn this example, we'll use the Raspberry Pi Compute Module 4 to control LEDs using C++ and the WiringPi library.Hardware RequirementsLEDs (2-3)
Resistors (2-3)
Breadboard and jumper wiresSoftware RequirementsRaspbian operating system
WiringPi library (install using `sudo apt-get install wiringpi`)Code
```cpp
#include <wiringPi.h>#define LED1 17 // GPIO pin for LED 1
#define LED2 23 // GPIO pin for LED 2
#define LED3 24 // GPIO pin for LED 3int main() {
wiringPiSetup();pinMode(LED1, OUTPUT);
pinMode(LED2, OUTPUT);
pinMode(LED3, OUTPUT);while (1) {
// Toggle LEDs
digitalWrite(LED1, HIGH);
delay(500);
digitalWrite(LED1, LOW);
delay(500);digitalWrite(LED2, HIGH);
delay(500);
digitalWrite(LED2, LOW);
delay(500);digitalWrite(LED3, HIGH);
delay(500);
digitalWrite(LED3, LOW);
delay(500);
}return 0;
}
```
Compile the code using `gcc` and run it using `./led_control`. This program will toggle the LEDs connected to GPIO pins 17, 23, and 24.These examples demonstrate the versatility of the Raspberry Pi Compute Module 4 in various IoT applications. With its impressive performance, compact design, and extensive software support, the CM4 is an ideal choice for developing innovative projects.