Edge computing box
RK3399Pro
Six-core 64-bit AI Embedded Computer
- Rockchip RK3399Pro
- 3GB/6GB LPDDR3
- eMMC 5.1 upto 64GB
- 3 USB, RS232, RS485, CAN, relay
- Power: DC 12V
Contact for consultation Category Industrial AI Devices
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Product description
- The RK3399Pro AI Embedded Computer is a high-performance embedded system powered by the Rockchip RK3399Pro processor, featuring a 6-core architecture (2× Cortex-A72 + 4× Cortex-A53) and a 3.0 TOPS NPU.
- It is designed for AI applications such as image recognition, deep learning, and natural language processing. With a fanless industrial design and a durable metal enclosure, the device operates reliably even in harsh environments.
Specifications
| Bộ xử lý (SoC) | Rockchip RK3399Pro | Cổng kết nối | 3 USB 3.0, RS232, RS485, CAN, relay |
| Bộ nhớ hệ thống | Tùy chọn 3GB/6GB LPDDR3 | Nguồn điện | DC 12V |
| Lưu trữ | eMMC 5.1 tối đa 64GB Hỗ trợ thẻ TF và khe cắm M.2 SSD |
Kích thước | 96.6mm × 72mm × 64mm |
| Video | Hỗ trợ giải mã 4K VP9, 4K 10bit và 1080P đa định dạng; mã hóa 1080P H.264/VP8 | Nhiệt độ hoạt động | –20°C đến 60°C |
| Hiển thị | HDMI 2.0 (4K@60Hz), MIPI-DSI, eDP 1.3 | Hệ điều hành hỗ trợ | Android, Ubuntu, Linux+QT |
| Giao tiếp mạng | Tích hợp LAN Gigabit, mở rộng WiFi băng tần kép, Bluetooth 4.1 |
Features
- Powerful AI performance: Integrated NPU with 3.0 TOPS performance, supporting popular AI frameworks such as TensorFlow, Caffe, and MxNet.
- Industrial-grade design: Metal enclosure with fanless cooling ensures stable operation in harsh environments.
- Multi-OS support: Compatible with Android, Ubuntu, and Linux+QT to meet diverse application needs.
- Rich expansion interfaces: Supports multiple ports and interfaces for easy integration into existing systems.
- AI development support: Provides SDKs, documentation, and development tools for fast deployment of AI applications.
Application
- AI monitoring: Real-time behavior detection and facial recognition.
- Industrial computing: Controls and monitors equipment across production lines.
- AI servers: Processes and analyzes large-scale data at the edge.
- Face recognition payment devices: Enables fast and secure user authentication.
- Smart education: Supports teaching and learning with AI-powered applications.
