The Raspberry Pi Compute Module 4 (CM4) is a compact and powerful version of the Raspberry Pi 4, specifically designed for embedded applications, including those requiring artificial intelligence (AI). This module leverages the same quad-core ARM Cortex-A72 processor found in the Raspberry Pi 4, operating at 1.5 GHz, which provides robust performance for a variety of tasks.
Key Features
-
Form Factor: The CM4 is designed to fit into a small footprint, making it ideal for integration into custom hardware solutions. It is available in 32 different variants, allowing users to choose from various configurations of RAM and storage.
-
Memory and Storage Options: Users can select from 1GB, 2GB, 4GB, or 8GB of LPDDR4 SDRAM. Storage options include 0GB (Lite version), 8GB, 16GB, or 32GB of eMMC flash memory, offering flexibility for different applications[2][5].
-
Connectivity: The Compute Module 4 supports dual video output and features a range of connectivity options, including wireless capabilities with 2.4 GHz and 5.0 GHz IEEE 802.11 b/g/n/ac, as well as Bluetooth 5.0. This makes it suitable for IoT devices and other networked applications[2][5].
-
Multimedia Support: It can handle H.265 and H.264 video formats, supporting up to 4Kp60 decode, and is equipped with OpenGL ES 3.0 graphics capabilities, enabling it to manage complex visual tasks and multimedia applications effectively[1][2].
Applications
The Raspberry Pi Compute Module 4 is particularly well-suited for industrial and embedded systems. Its modular design allows for easy integration into a wide range of applications, including:
-
Digital Signage: The ability to drive high-resolution displays makes it ideal for advertising and information systems.
-
Home Automation: Its processing power and connectivity options allow it to serve as the brain for smart home devices.
-
AI Projects: The CM4’s capabilities make it a strong candidate for AI applications, such as machine vision and data processing in robotics.
-
Custom Hardware Solutions: Developers can create tailored solutions for specific needs, leveraging the flexibility of the module to fit various project requirements[3][4][5].
The Raspberry Pi Compute Module 4 represents a significant advancement in the Raspberry Pi ecosystem, offering a blend of power, flexibility, and compactness that is essential for modern embedded AI applications.
Further Reading
1. The Compute Module 4 Just Got Beefier | Elektor Magazine
2. Buy a Compute Module 4 – Raspberry Pi
3. Advanced AI Tech Building Blocks | Raspberry Pi To Nvidia Jetson
4. What You Can Do with a Compute Module 4 | PiCockpit
5. Raspberry Pi Compute Module vs Raspberry Pi 4 – JFrog Connect