Waveshare Core357608000

Waveshare Luckfox Core3576 Module User Manual

Model: Core357608000

1. Introduction

The Waveshare Luckfox Core3576 Module is a high-performance, low-power AIoT processor core module based on Rockchip's RK3576. It features a sophisticated big.LITTLE architecture, integrating quad-core Arm Cortex-A72 at 2.2GHz and quad-core Arm Cortex-A53 at 2.0GHz. This module is equipped with an ARM Mali G52 MC3 GPU for graphics and an NPU delivering 6 TOPS (Tera Operations Per Second) of computing power, making it suitable for a wide range of embedded applications requiring advanced AI capabilities and multimedia processing.

The Core3576 supports 4K encoding and decoding, various display outputs including HDMI, MIPI DSI, and eDP, and a rich set of peripheral interfaces such as PCIe, CSI, USB, I2C, SPI, and GPIO, providing extensive connectivity and expansion options for diverse project requirements.

Waveshare Luckfox Core3576 Module top view

Figure 1.1: Top view of the Waveshare Luckfox Core3576 Module.

2. Package Contents

Verify that all items are present and in good condition upon opening the package. If any items are missing or damaged, please contact customer support.

Package content showing one Core3576 module

Figure 2.1: Illustration of the package content, showing the Core3576 module.

3. Specifications

The following table details the technical specifications of the Core3576 Module:

Table of specifications for Core3576 module including processor, RAM, NPU, GPU, ISP, Video, Connectivity, Video Output, Video Input, PCIe/SATA, USB, SDIO, CAN, ADC, Expansion Interfaces, Connector, Power Input, Outline Dimensions, and Others.
Core3576 Module Technical Specifications
FeatureDescription
ProcessorQuad-core Arm Cortex-A72@2.2GHz + Quad-core Arm Cortex-A53@2.0GHz
RAM8GB LPDDR4X RAM
Storage0GB eMMC Flash (Options for 0 / 32 / 64GB eMMC Flash)
NPU6 TOPS@INT8, supports INT4, INT16, FP16, BF16, FP32 mixed operation
GPUARM Mali G52 MC3@0.9GHz, supports OpenGL ES 1.1/2.0/3.2, OpenCL 2.0 and Vulkan 1.1, and built-in high-performance 2D/3D acceleration hardware
ISPBuilt-in 16MP ISP, supports multiple algorithm accelerators such as HDR, 3A, CAC, 3DNR, 2DNR, Sharpening, Dehaze, Enhance, Debayer, and small-angle lens distortion correction, etc.
VideoDecoding: 4K@120fps (H.265/HEVC, VP9, AVS2, AV1), 4K@60fps (H.264/AVC)
Encoding: 4K@60fps (H.265/HEVC, H.264/AVC)
ConnectivitySupports 1000M Ethernet × 2
Expandable for 2.4GHz/5GHz dual-band WiFi 6, Bluetooth 5.2
Video OutputHDMI2.1 (4K@120fps) × 1 / eDP1.3 (4K@60fps) × 1
4-lane MIPI DSI (2K@60fps) × 1
Video InputMIPI CSI DPHY × 2
MIPI CSI D/CPHY
PCIe/SATAPCIe 2.1/SATA3.1 × 2
USBUSB3.2 Gen1 OTG (5Gbps), supports DP protocol
USB2.0 interface
SDIOSDIO3.0 × 2
CANCAN FD × 2
ADCSARADC × 8
Expansion InterfacesI2C × 10; I3C × 2; UART × 12; SPI × 5; CAN × 2; Multiple GPIOs
Connector260 Pin SO-DIMM Connector
Power Input5V DC
Outline Dimensions69.6mm × 45mm
OthersSupports 38KHz infrared input
Low power RTC chip with backup battery input

Note: The actual number of available interfaces may be reduced due to pin multiplexing.

Diagram showing the outline dimensions of the Core3576 module in millimeters.

Figure 3.1: Outline dimensions of the Core3576 Module.

4. Key Features

4.1 Low Power Octa-Core AIoT Processor

The Core3576 is equipped with the high-performance Rockchip RK3576 processor, integrating quad-core Cortex-A72 and quad-core Cortex-A53. This configuration provides robust performance while maintaining high energy efficiency, making it ideal for AIoT applications.

Diagram illustrating the RK3576 processor with Octa-core CPU (Cortex-A72 and Cortex-A53), 2.2GHz performance core frequency, 2.0GHz efficiency core frequency, and 0.9GHz ARM Mali G52 MC3 GPU frequency.

Figure 4.1: Overview of the RK3576 processor architecture.

4.2 6 TOPS Computing Power NPU

The integrated Neural Processing Unit (NPU) offers 6 TOPS of computing power, facilitating the efficient conversion and execution of various neural network models based on popular frameworks such as TensorFlow, MXNet, PyTorch, and Caffe. This enables advanced AI applications like object recognition, face recognition, vehicle recognition, pedestrian detection, text recognition, and semantic segmentation.

Diagram showing 6 TOPS computing power with examples of AI applications: Object Recognition, Face Recognition, Vehicle Recognition, Pedestrian Detection, Text Recognition, Semantic Segmentation, and supported frameworks like TensorFlow, MXNet, PyTorch, Caffe.

Figure 4.2: AI applications enabled by the 6 TOPS NPU.

4.3 4K Encoding and Decoding Support

The module supports high-definition video tasks with 4K@120fps decoding (H.265/HEVC, VP9, AVS2, AV1) and 4K@60fps encoding (H.265/HEVC, H.264/AVC). This capability ensures smooth handling of demanding multimedia content.

Illustration showing 4K video encoding and decoding capabilities, with supported codecs and frame rates.

Figure 4.3: 4K video encoding and decoding capabilities.

4.4 Dual Gigabit Ethernet Interfaces

The Core3576 module features dual Gigabit Ethernet interfaces, allowing for flexible network configurations. Different types of network traffic can be distributed to separate interfaces, enhancing security and management flexibility for various applications, such as one for external internet connection and another for internal LAN.

Diagram illustrating the dual Gigabit Ethernet interfaces and their application in network traffic distribution.

Figure 4.4: Dual Gigabit Ethernet interfaces for enhanced network flexibility.

4.5 Three-Screen Display Support

The module supports simultaneous output to three screens via MIPI DSI, HDMI2.1 (4K@120fps), or eDP1.3 (4K@60fps). Additionally, it can adapt to DP interfaces via USB, enabling versatile multi-screen display setups for various visual applications.

Illustration of the module supporting three-screen display via HDMI/eDP, USB-DP (OTG), and MIPI DSI.

Figure 4.5: Multi-screen display capabilities.

4.6 Rich Peripheral Interfaces

Adopting a SO-DIMM connector, the Core3576 module supports a wide array of expansion interfaces. These include HDMI, MIPI-DSI, DP, MIPI-CSI, PCIe2.0/SATA3, SDIO, GMAC, USB3.0, USB2.0, I2C, I3C, SPI, I2S, UART, and GPIO. This extensive range of interfaces provides robust support for diverse applications, allowing users to quickly integrate the module into their projects.

Diagram showing the Core3576 module and a list of supported peripheral interfaces: HDMI, MIPI-DSI, DP, MIPI-CSI, PCIe3.0, PCIe2.0/SATA3, SDIO, GMAC, USB3.0, USB2.0, I2C, I2S, UART, GPIO.

Figure 4.6: Available peripheral interfaces on the Core3576 Module.

5. Application Examples

The versatility and powerful capabilities of the Core3576 Module make it suitable for a broad spectrum of applications, including:

Images depicting various application examples: Local deployment of large models, Edge computing, Intelligent commercial displays, Industrial control hosts, Cloud terminal products, Automotive electronics.

Figure 5.1: Diverse application scenarios for the Core3576 Module.

6. Setup Guide

As a core module, the Core3576 requires integration with a carrier board or custom PCB for full functionality. The setup process typically involves:

  1. Hardware Integration: Carefully insert the Core3576 module into the compatible SO-DIMM slot on your carrier board. Ensure proper alignment and secure seating.
  2. Power Supply: Connect a stable 5V DC power supply to your carrier board. Refer to your carrier board's documentation for specific power requirements and connection points.
  3. Peripheral Connections: Connect necessary peripherals such as display units (via HDMI, MIPI DSI, or eDP), USB devices, network cables, and other sensors or actuators to the carrier board's corresponding ports.
  4. Software Preparation: Prepare the operating system image (e.g., Linux distribution) compatible with the RK3576 processor. This typically involves flashing the image onto an SD card or eMMC storage if available on your carrier board.
  5. Initial Boot: Power on the system. Monitor the boot process via a serial console or connected display.

For detailed instructions on specific carrier boards or development kits, please refer to the official Waveshare Wiki resources or the documentation provided with your specific hardware setup.

7. Operating Instructions

Operating the Core3576 Module primarily involves interacting with the software running on it. Key aspects include:

  1. Operating System Interaction: Once booted, interact with the installed operating system (e.g., Linux) via command line, graphical user interface (if available), or remote access (SSH).
  2. Software Development: Utilize the provided SDKs and toolchains to develop applications. Leverage the NPU for AI inference tasks using frameworks like TensorFlow, PyTorch, etc.
  3. Peripheral Control: Access and control connected peripherals through the operating system's drivers and APIs.
  4. Network Configuration: Configure the dual Gigabit Ethernet interfaces and any wireless connectivity (if an expansion module is used) for network access and communication.
  5. Multimedia Processing: Utilize the module's video encoding and decoding capabilities for multimedia applications.

Refer to the software documentation and examples provided by Waveshare for specific programming guides and application development.

8. Maintenance

To ensure the longevity and optimal performance of your Core3576 Module, consider the following maintenance guidelines:

9. Troubleshooting

This section provides general troubleshooting tips for common issues. For more specific problems, consult the Waveshare Wiki or community forums.

If issues persist, consider reinstalling the operating system or contacting Waveshare technical support.

10. Warranty and Support

For information regarding product warranty, technical support, and additional resources, please refer to the official Waveshare website and Wiki. Waveshare provides extensive documentation and community support for their products.

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