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Embedded Computer 4G DDR ROM 64G 4K 60Hz Hdr10 HDMI 2.0A Npu 3tops Android 11 OS 5g WiFi Rockchip 3399PRO 6 Cores Cortex A72 A53 Edge Computing

Customization: Available
Application: Indoor AD Player
Installation: Combined

Product Description

Basic Specifications
Model NO.:R16-08 edge computing
Type:Network Version AD Player
Interface Type:HDMI
OS:Android
CPU Chipset:Rockchip 3399 PRO 6 Cores
NPU:3 Tops
Material:Steel Housing
Specification:170*105*40mm
💡RK3399Pro Six-core 64-bit AI Embedded PC

Based on the Rockchip 3399Pro artificial intelligence open-source platform, this device is equipped with an industrial-grade metal shell, offering highly efficient heat dissipation. It supports a variety of operating systems with stable and reliable performance. It features super AI computing performance and rich expansion interfaces for various intelligent applications.

RK3399 Pro AI PC
⚙️High Performance Processor & NPU

The Rockchip RK3399 Pro processor features a dual-core Cortex-A72 + quad-core Cortex-A53 architecture (1.8GHz). The integrated NPU supports 8-bit/16-bit operations with performance up to 3.0 TOPS. Compared to traditional GPU units, the NPU power consumption is only 1% while maintaining superior computing efficiency.

RK3399 Pro Processor Detail
🚀Variant AI Applications & SDK Support

Supports Caffe models, Tensorflow, Mxnet, Android NN API, and RKNN cross-platform API. We provide AI development tools such as model conversion and the Rock-x SDK AI visual recognition library to quickly realize machine vision capabilities.

AI SDK Support
4K Hardware Decoding
🖥️4K Ultra HD & OS Versatility

Strong hardware encoding/decoding: supports 4K VP9, 4K 10-bit H265/H264, and 1080p multi-format decoding. Compatible with Android and Linux Ubuntu OS.

OS Support
Open Source Tools
Technical Parameters
Feature Specifications
CPU Dual Cortex-A72 + Quad Cortex-A53, up to 1.8GHz
GPU Mali-T860MP4, supports OpenGL ES1.1/2.0/3.0/3.1, AFBC support
NPU 3.0 TOPS, supports 8bit/16bit, Tensorflow/Caffe
Memory DDR3/LPDDR3/LPDDR4 support, EMMC 5.1, SDIO 3.0
Video 4K @ 60fps H265/H264 decoding, 1080p H.264/VP8 encoding
Display HDMI 2.0 (4K 60Hz), EDP 1.3, Dual channel MIPI-DSI
Interfaces USB 3.0 Type-C, PCIe 2.1, RS485, RS232, RJ45, Micro SD
Application Scenarios
Interface Diagram
Frequently Asked Questions
🔹 What is the AI computing power of this device?
The integrated NPU provides up to 3.0 TOPS of computing performance, supporting efficient 8-bit and 16-bit operations.
🔹 Which operating systems are supported?
This edge computing device supports both Android and Linux Ubuntu operating systems.
🔹 Does it support 4K video output?
Yes, it is equipped with HDMI 2.0 which supports 4K @ 60Hz display output and HDCP 1.4 / 2.2.
🔹 Is the design suitable for industrial environments?
Absolutely. It features a fan-less design with a high-quality aluminum alloy/steel housing for efficient heat dissipation and durability.
🔹 What AI frameworks are compatible?
It supports mainstream frameworks including TensorFlow, Caffe, Mxnet, and provides the RKNN cross-platform API.
🔹 What interfaces are available for expansion?
The device includes HDMI, Type-C, 4x USB HOST, RJ45 Gigabit Ethernet, Micro SD, RS485, and RS232 interfaces.

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