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Face Recognized Jetson Nano Nvidia Machine Learning Kit 4G

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Face Recognized Jetson Nano Nvidia Machine Learning Kit 4G

Name: Face Recognized Jetson Nano Nvidia Machine Learning Kit 4G
Brand: PLINK
Price: 320 USD

China Face Recognized Jetson Nano Nvidia Machine Learning Kit 4G wholesale

Brand Name : PLINK

Model Number : Jetson Nano

Place of Origin : China

MOQ : 1

Price : USD320-USD350 \SET

Payment Terms : D/A, D/P, T/T

Supply Ability : 1+set+4weeks

Delivery Time : 15-30 work days

Packaging Details : 35X28X24cm

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

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

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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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Face Recognized Jetson Nano Nvidia Machine Learning Kit 4G

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