Based on AIO-3399C (AI version) high-performance open-source platform, industrial-grade metal case and fan-off design configured, with high-efficiency cooling ability, complete interface, strong applicability and computing power and ultrahigh performance. It can be applicable to high-performance edge computing to accelerate in-depth learning computation and AI algorithm. It can be rapidly applied in the field of mobile edge computing, smart home, face recognition, etc.
Specification | |||
CPU |
RK3399, Dual-core(Cortex-A72)+ Quad-core(Cortex-A53),frequency up to 1.8 GHz |
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GPU |
Quad-core ARM Mali-T860 Support OpenGL ES 1.1/2.0 /3.0, OpenVG1.1, OpenCL, Directx11 |
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NPU |
SPR2801S, Adopt MPE and APiM unique AI architecture Computing performance up to 2.8Tops and 9.3Tops/W energy efficiency |
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DDR |
2GB / 4GB dual-channel LP DDR4 |
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Storage |
8GB -128GB High-speed eMMC、TF Card Slot |
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Network |
RJ45 interface Gigabit Ethernet On-board WIFI/BT module, support 2.4GHz/5GHz dual-band WiFi,802.11a/b/g/n/ac protocol Support Bluetooth 4.1(support BLE) Mini PCIe(Used to expand 3G/4G modules, use with Micro SIM card slot) |
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Multimedia |
Support 4K VP9 and 4K 10bits H265/H264 video decoding, up to 60fps 1080P Multi-format video decoding(VC-1, MPEG-1/2/4, VP8) 1080P video decoding, support H.264,VP8 formats Video post processor: deinterlacing, denoising, edge/ detail/ color optimization |
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Display |
Dual VOP: support 4096X2160 and 2560X1600 resolution HDMI2.0 support 4K 60Hz display, support HDCP 1.4/2.2 Support eDP 1.3(4 line, 10.8Gbps), can directly drive multiple resolutions LCD screen which with eDP interface Support dual 6/8 bit LVDS interface, up to 24-bit 1920×1200 resolution Support Rec.2020 and Rec.709 color gamut conversion 1 x DP 1.2 (DisplayPort) , support 4K@60 fps output |
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Interface |
Dual ISP pixel processing capability up to 13MPix/s, support simultaneous input of two-way camera data Support USB3.0 HOST and Type-C ADC x 1, SPI / GPIO, LED×2, I²C×1, Gravity sensor×1(Scalable) |
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SD Card |
Support SD Card |
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RTC |
Support RTC real-time clock |
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On/Off |
Support timer switch |
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Audio |
PHONE x 1, LINE-IN x 1, LINE-OUT x 1, Microphone (left and right channel) |
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USB |
Type-C(OTG), USB3.0 x 1, USB2.0 x 4(interface x 2, socket x 2) |
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Button |
Power Button(Button×1, socket×1), Recover Button(Button×1, socket×1) |
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Serial port |
RS232×1, RS485×1, Debug serial port×1, on-board 2-way TTL |
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IR |
With a one-way infrared receiver, support infrared remote control |
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Power Supply |
DC 12V-2A(DC5.5 × 2.1mm), Support for external connection( Power socket×1) Can power by POE+(802.3 AT, Output Power 30W) Ethernet |
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System |
Support Android\Linux\Ubuntu system |
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Framework |
Support PyTorch , Caffe framework, follow-up support TensorFlow |
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Tools |
PLAI model training tool(Support for GNet1, GNet18 and GNetfc network models which based on VGG) |
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Power Parameter | |||
Type | Min | Typical | Max |
Operating Voltage | 6v | 12v | 24v |
Operating Current | 500mA | 1A | 2A |
Environmental Parameter | |||
Type | Mix | Typical | Max |
Operating Temperature | -20 ℃ | 25 ℃ | 60 ℃ |
Storage Temperature | -40 ℃ | 25 ℃ | 125 ℃ |
Appearance Structure | |||
Specification | |||
Size | 160 x 94 x 26 mm |