RK3572 AI Motherboard for Edge AI Applications

As AI continues moving from the cloud to edge devices, manufacturers are looking for hardware that delivers strong AI performance without driving up project costs.

To meet this growing demand, ShiMeta introduces the AIoT-3572SE, a new RK3572 AI motherboard designed specifically for next-generation AIoT devices, edge AI applications, and embedded AI systems.

Positioned between the RK3568 and RK3576 platforms, the AIoT-3572SE provides an ideal balance of performance, AI capability, connectivity, and affordability, making it an excellent solution for commercial terminals, smart retail, industrial automation, robotics, and intelligent self-service kiosks.

Why Choose the AIoT-3572SE?

Many embedded AI projects don’t require flagship-level hardware, but they still need enough AI computing power for computer vision, voice interaction, object detection, OCR, and intelligent automation.

Compared with traditional RK3568 solutions, the AIoT-3572SE delivers significantly higher CPU and AI performance.

Compared with RK3576, it reduces hardware costs while maintaining excellent AI inference capabilities.

This makes it one of the best choices for cost-sensitive Edge AI projects.

Powered by Rockchip RK3572

At the core of the AIoT-3572SE is the new Rockchip RK3572 processor, built using an advanced 8nm manufacturing process.

Key Specifications

• 8-core CPU
  • 2× Cortex-A73
  • 6× Cortex-A53
• Up to 2.2GHz
• Android 16
• Integrated 4 TOPS NPU
• Mali-G310 GPU
• 4K Ultra HD video decoding
• Vulkan 1.4 graphics support

The heterogeneous architecture offers outstanding computing efficiency while keeping power consumption under control.

4 TOPS AI Computing Power for Local AI

The onboard NPU delivers 4 TOPS of AI computing performance, enabling local AI inference without relying on cloud servers.

Supported AI frameworks include:

• TensorFlow
• PyTorch
• ONNX
• TensorFlow Lite

The AI accelerator also supports multiple precision modes including:

• INT4
• INT8
• INT16
• FP4
• FP8
• FP16
• BF16

This allows developers to deploy modern AI models, including Transformer-based networks, more efficiently.

Typical AI workloads include:

• Face recognition
• Object detection
• OCR
• AI visual inspection
• Smart retail analytics
• Voice interaction
• Edge AI inference

Flexible Multi-Display Support

The AIoT-3572SE supports multiple display interfaces, making it ideal for commercial displays and smart terminals.

Supported display outputs include:

• HDMI (4K@60Hz)
• eDP
• LVDS
• MIPI DSI

Developers can easily build:

• Digital signage players
• Self-service kiosks
• Interactive terminals
• POS systems
• Industrial HMI
• Smart vending machines

The Mali-G310 GPU ensures smooth graphics rendering while supporting AI image enhancement and high-resolution multimedia playback.

Rich I/O for AIoT Applications

One of the biggest strengths of the AIoT-3572SE is its extensive industrial connectivity.

Camera

• MIPI CSI Camera
• Up to 4096 × 2304 resolution
• Supports 5MP and 13MP camera modules

Ideal for:

• AI vision
• Facial recognition
• Quality inspection
• Traffic analysis

USB Expansion

• USB 3.0 OTG
• USB 3.0 Host
• 6 × USB 2.0 Host

Perfect for connecting:

• Barcode scanners
• Cameras
• Card readers
• Printers
• Storage devices

Industrial Interfaces

• RS232
• RS485
• TTL UART
• GPIO
• I²C
• RTC
• Fan control
• IR interface

Suitable for industrial automation and embedded control systems.

Reliable Networking

The board supports both wired and wireless communication.

Features include:

• Gigabit Ethernet
• Optional PoE (15W)
• Wi-Fi
• Bluetooth

This provides flexible deployment options for smart retail, AI kiosks, factory automation, and intelligent terminals.

Typical Applications

The AIoT-3572SE is designed for a wide range of edge AI solutions.

Smart Retail

• Self-checkout kiosks
• AI POS systems
• Smart shelves
• Interactive advertising displays
• Customer analytics terminals

AI Service Robots

• Reception robots
• Delivery robots
• Digital human terminals
• Companion robots

Industrial Automation

• Edge AI gateways
• Machine vision inspection
• Industrial HMI
• Production monitoring

Smart Government

• Self-service ticket machines
• Facial recognition terminals
• Visitor management
• Smart access control

Smart Healthcare

• Medical kiosks
• Hospital self-service terminals
• Patient registration systems

Conclusion

As Edge AI becomes the mainstream architecture for intelligent devices, choosing the right AI motherboard is essential.

Powered by the Rockchip RK3572 processor, the ShiMeta AIoT-3572SE combines 4 TOPS AI computing, modern CPU architecture, industrial-grade interfaces, and exceptional value into one compact embedded platform.

For businesses seeking a cost-effective AI computing board capable of running modern AI applications locally, the AIoT-3572SE is an excellent foundation for the next generation of AIoT devices.