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Title: EC-A3399ProC Six-core 64-bit AI Embedded Computer [Print This Page]

Author: Firefly    Time: 7/14/2020 15:26
Title: EC-A3399ProC Six-core 64-bit AI Embedded Computer
EC-A3399ProC Six-core 64-bit AI Embedded Computer based on AIO-3399ProC AI open-source platform, industrial-grade metal case and fanless design configured, with high-efficiency heat dissipation ability, supports for multiple operating systems which can run stable and reliable. EC-A3399ProC has ultra-strong AI performance and rich expansion interfaces,which can be applied to various intelligent products easily.

[mp4]https://download.t-firefly.com/video/EC-A3399ProC/EC-A3399ProC%E8%8B%B1%E6%96%87.mp4?OSSAccessKeyId=LTAIDdtien9KAesM&Expires=1594714533&Signature=qhuAun%2BgF3e0LD%2FPnaZ5%2F8GJue0%3D[/mp4]

RK3399Pro Six-core 64-bit Processor

Rockchip RK3399Pro processor adopts the architecture of dual-core Cortex-A72 and quad-core Cortex-A53 with its frequency up to 1.8GHz, showing an ultra-strong general-purpose computing performance. Quad-core ARM high-end GPU Mali-T860 integrates more bandwidth compression techniques and therefore has an excellent overall performance.


NPU With Ultra-strong AI Performance

CPU internally integrates AI neural network unit NPU and supports 8bit/16bit operation with its computing performance up to 3.0TOPS. Compared with using the traditional GPU as the large chip scheme of AI computing unit, the power consumption of NPU is merely 1% of that of GPU. Therefore, NPU has an extremely high computing-power performance ratio.



With Rich AI Capability

It provides Rock-X SDK AI visual recognition API component library to realize machine vision recognition quickly, supports TensorFlow/Caffe/Mxnet general-purpose model and provides AI development tools like model transformation and end-to-side API. It also supports the development interfaces of Android NN API, RKNN cross-platform API and TensorFlow.



Powerful Hardware Decoding Capability

It has powerful hardware decoding and encoding capability, supports 4K VP9, 4K 10bits H265/H264 and 1080P multi-format (VC-1, MPEG-1/2/4, VP8) video decoding, supports 1080P (H.264/VP8 format) video encoding.


Support Multiple OS

With stable and reliable performance, EC-A3399ProC supports multiple operating systems including Android¡¢Linux+QT and Ubuntu.



Configuring Metal Case

High-quality metal case and fanless design configured, with the concealed lead hole, heat-conducting aluminum alloy structure for high-efficiency heat dissipation, It can support 60¡æhigh-temperature aging and stable operation for 7x24 hours.


Open SDK

Open SDK, tutorials, technical materials and development tools to make development easier and more convenient.



Rich Expansion Interfaces

HDMI2.0, RS485, RS232, USB3.0 Host, Type-C£¨USB3.0+DP£©and other interfaces owned to make it possible to be widely applied in various industries.



Application

EC-A3399ProC can be used for AI driving monitoring, Industrial computer, AI server, Self-service retail shelves, Face-scanning payment devices, Face recognition, Vending machine, Smart education, etc.




Access Firefly Shop to know more.







Author: alpha-nerd    Time: 5/9/2024 18:17
I need some "How to" videos or PDFs about using TensorFlow on the board. Can you please point out?
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Dual-core Cortex-A72 and quad-core Cortex-A53 architecture with up to 1.8GHz frequency ensures a balance of power efficiency and computing strength. talking tom gold run

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Author: BarbaraPSkiller    Time: 3/9/2025 03:21
EC-A3399ProC Six-core 64-bit AI Embedded Computer is the best for us, and we can see how it works for us. While using the colorbond roof cleaning I saw how it works for us to get what we need.

Author: Eileen    Time: 3 day before
This EC-A3399ProC sounds impressive! The robust design and AI capabilities make it ideal for demanding applications. Reminds me of the Dinosaur Game ¨C reliable and performs well under pressure, even without a fan. The stable operation and expandability seem like a real game-changer for developing intelligent systems. Anyone else thinking about how this could power some serious robotics projects?


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