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Embedded Computer RAM 4G 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

Quick Specifications

Model
R16-06 edge computing
Type
Network Version AD Player
CPU Chipset
Rockchip 3399 PRO 6 Cores
OS
Android / Linux
NPU
3 TOPS Performance
Material
Steel Housing
Interface
HDMI 2.0a
Dimensions
170*105*40mm

RK3399 Pro AI Embedded PC

Based on the Rockchip 3399Pro artificial intelligence open-source platform, this device is equipped with an industrial-grade metal shell for highly efficient heat dissipation. It supports various operating systems with stable and reliable performance. Featuring superior AI computing power and rich expansion interfaces, it can be directly applied to various intelligent products.

RK3399 Pro Product View
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High-Performance Processor: Dual-core Cortex-A72 + Quad-core Cortex-A53 architecture (1.8GHz) with Mali-T860 GPU for exceptional computing and graphics performance.
Architecture

Integrated AI Neural Network (NPU)

The integrated NPU supports 8-bit/16-bit operations with performance up to 3.0 TOPS. Compared to traditional GPU-based AI units, the NPU power consumption is only 1%, providing extreme efficiency for edge computing tasks.

Versatile AI Application Support

Supports Caffe, Tensorflow, Mxnet, Android NN API, and RkNN cross-platform API. We provide comprehensive development tools, including model conversion and Rock-x SDK visual recognition libraries to accelerate product development.

AI Frameworks

4K Ultra HD & Multimedia

Powerful hardware decoding for 4K VP9, 10-bit H.265/H.264, and multi-format 1080p video. Supports high-quality encoding and video post-processing features like denoising and color optimization.

4K Decoding OS Support

Industrial Grade Build & Connectivity

Features a high-quality fan-less metal shell and aluminum alloy structure for silent cooling. Equipped with extensive interfaces: HDMI, Type-C, USB Host x4, RJ45, RS485, and RS232.

Open Source Support Application Fields

Technical Parameters

Hardware Details
CPUDual Cortex-A72 + Quad Cortex-A53, up to 1.8GHz
GPUMali-T860MP4, supports OpenGL ES1.1/2.0/3.0/3.1, OpenVG1.1
NPU3.0 TOPS, supports Tensorflow and Caffe models
MemoryDDR3/LPDDR4 support, EMMC 5.1 and SDIO 3.0
Display4K @ 60Hz via HDMI 2.0, eDP 1.3, MIPI-DSI
InterfacesUSB 3.0 Type-C, PCIe 2.1, 8-channel Digital Mic array
OSAndroid and Linux Ubuntu
Parameter Board Banner

Frequently Asked Questions

Q1: What is the AI computing performance of this device?

The integrated NPU provides up to 3.0 TOPS (Tera Operations Per Second) performance, specifically optimized for neural network processing.

Q2: Which operating systems are supported?

It fully supports Android 11 and Linux Ubuntu OS, making it versatile for both consumer and industrial applications.

Q3: Can it handle 4K video playback?

Yes, it supports hardware decoding for 4K VP9 and 4K 10-bit H.265/H.264 video at up to 60fps.

Q4: Is the hardware open-source?

Yes, we provide source code, tutorials, technical materials, and development tools to simplify the development process.

Q5: What are the main industrial applications?

Common applications include face recognition, smoking detection, AI servers, digital signage, and intelligent retail shelf systems.

Q6: Does it have a cooling fan?

No, it uses a high-quality fan-less metal shell and aluminum alloy structure for efficient, silent passive cooling.

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