Description
Features
- Hand-sized edge device: Compact size at 100 mm x 80 mm x 29 mm, offering 5 TOPS AI performance with low power consumption and low latency.
- Ready for development and deployment: pre-installed NVIDIA JetPack 4.6 supports the entire Jetson Software and industry-leading AI Developer Tools for building robust AI applications such as logistics, retail, service, agriculture, smart city, healthcare, and life sciences, etc
- Expandable with Rich I/Os: Includes an onboard microSD card slot, 4x USB 3.0, 1x Micro-USB, HDMI,2 Key E for WiFi, LTE, Bluetooth, RTC, Raspberry Pi GPIO 40-pin, and more.
- Power efficient: DC Jack 5V⎓4A and Micro-USB 5V⎓2A
Specification
● Jetson Nano 4GB System on Module
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Al Performance |
Jetson Nano 4GB – 0.5TFLOPS |
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GPU |
NVIDIA Maxwel™ architecture with 128 NVIDIA CUDA® cores |
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CPU |
Quad-core ARM Cortex-A57 MPCore processor |
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Memory |
4 GB 64-bit LPDDR4 25.6 GB/s |
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Video Encoder |
1x 4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 (H.265 & H.264) |
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Video Decoder |
1x 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 & H.264) |
● Carrier Board
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Storage |
1x TF_Card |
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Networking |
Ethernet |
1x RJ-45 Gigabit Ethernet (10/100/1000M) |
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M.2 KEY E |
1x M.2 Key E for WiFi/Bluetooth module |
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I/O |
USB |
4x USB 3.0 Type A; 1x Micro-USB port for 5V power input or for device mode |
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Camera |
2x CSI |
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Display |
1x HDMI Type A; 1x DP |
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Fan |
1x 4 pin Fan Connector (5V PWM) |
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Multifunctional Port |
1x 40-Pin Expansion header 1x 14-Pin Control and UART header |
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Power Supply |
DC Jack 5V⎓4A; Micro-USB 5V⎓2A |
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Mechanical |
Dimensions (W x D x H) |
100 mm x 80 mm x 29 mm |
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Installation |
Desk, wall-mounting |
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Application
Application Fields:
- Computer Vision
- Machine Learning
- Autonomous Mobile Robot (AMR)
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