NAME: | Face Recognized Jetson Nano SBC Embedded System Nvidia Machine Learning Kit 4G | Keyword: | Face Recognized Jetson Nano SBC Embedded System Nvidia Machine Learning Kit 4G |
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Model Number: | Jetson Nano | MiniPCIe: | *2 |
Power Adapter: | DC +12V 5A | GPU: | NVIDIA Maxwell Architecture |
Working Temperature: | -25~+80℃ | Memory: | 4 GB 64-bit LPDDR4 1600MHz - 25.6 GB/s |
RJ45: | *1 | 2 Lane MIPI: | *1 |
Micro SD: | *1 | GPIO(3.3V): | *3 |
Board Size: | 120mm×80mm×35mm | ||
High Light: | Face Recognized Nvidia Machine Learning Kit,Jetson Nano Nvidia Machine Learning Kit,4G Nvidia Machine Learning Kit |
GPU
|
NVIDIA Maxwell architecture with 128 NVIDIA CUDA cores
0.5 TFLOPs (FP16)
|
CPU
|
Quad-core ARM Cortex -A57 MPCore processor
|
Memory
|
4 GB 64-bit LPDDR4
1600MHz - 25.6 GB/s
|
Storage
|
16 GB eMMC 5.1 Flash
|
CSI Camera
|
12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps)
|
Size
|
69.6 mm x 45 mm
|
USB 3.1 Type-A
|
1
|
Micro USB
|
1
|
MiniPCIe
|
2
|
RJ45
|
1
|
micro SD
|
1
|
HDMI 2.0
|
1
|
2 Lane MIPI
|
2
|
CAN
|
1
|
30-pin2.0mm Multifunctional interface design
(GPIO,I2C,SPI,USB,RS-232) |
1
|
3.3V Debug(UART)
|
1
|
GPIO(3.3V)
|
3
|
GPO(3.3V)
|
1
|
RS-232
|
2
|