China Face Recognized Jetson Nano Nvidia Machine Learning Kit 4G for sale
China Face Recognized Jetson Nano Nvidia Machine Learning Kit 4G for sale
China Face Recognized Jetson Nano Nvidia Machine Learning Kit 4G for sale

Face Recognized Jetson Nano Nvidia Machine Learning Kit 4G

Face Recognized Jetson Nano SBC Embedded System Nvidia Machine Learning Kit 4G Embedded Computer System Jetson Nano Developer Kit for face recognized Y-C6-DEV-Nano is the NVIDIA AI developer kit with the Jetson Nano module 900-13448-0020-000. Which is delivers 472 GFLOPs for taking on modern AI algorithms. The developer kit makes AI and edge computing are transforming every industry, including face recognized, manufacturing, healthcare, retail, logistics, construction,

Place of Origin China
Keyword Face Recognized Jetson Nano SBC Embedded System Nvidia Machine Learning Kit 4G
Memory 4 GB 64-bit LPDDR4 1600MHz - 25.6 GB/s
Packaging Details 35X28X24cm
Board size 120mm×80mm×35mm
Model Number Jetson Nano
Product Description
Face Recognized Jetson Nano SBC Embedded System Nvidia Machine Learning Kit 4G
 
Embedded Computer System Jetson Nano Developer Kit for face recognized
Y-C6-DEV-Nano is the NVIDIA AI developer kit with the Jetson Nano module 900-13448-0020-000. Which is delivers 472 GFLOPs for taking on modern AI algorithms. The developer kit makes AI and edge computing are transforming every industry, including face recognized, manufacturing, healthcare, retail, logistics, construction, agriculture, robotics, and more. AI at the edge now enables use cases that we could only imagine until recently. Today, the NVIDIA Jetson platform brings incredible new capabilities to the edge, and the face recognized is easy to develop, at the same time Jetson modules and development kits are supported by a unified software architecture, letting developers further enhance or expand their product portfolio on other Jetson modules without coding twice.
 
NVIDIA Jetson Nano Module 900-13448-0020-000 Technical Specifications
 
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
 
Support native system
Anti falling off interface design
Temperature: -25~+80°C
Size: 120mm*80mm*35mm
Adapter: AC to DC /220V to +12V 5A
 
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

 
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