Jetson Nano
It includes:
1 x Jetson Nano Developer board
1 x 7inch IPS capacitive touch display
1 x IMX219-77 camera board
1 x 64GB class 10 TF card
1 x EU power adapter
This pack is almost a robot in embryo, you can even "see" via its "eye", now it's your show time to bring the superior AI robot to life.
NVIDIA Jetson Nano, Bringing the Power of Modern AI to Millions of Devices
- IPS screen, 1024x600 hardware resolution, configurable by software (up to 1920x1080)
- Supports popular mini PCs such as Raspberry Pi, Jetson Nano, BB Black, Banana Pi, as well as general desktop computers
- When works with Raspberry Pi, supports Raspbian/Ubuntu/Kali/Retropie/WIN10 IOT, driver free
- When work as a computer monitor, supports Windows 10/8.1/8/7, five-points touch, and driver free
- Supports popular game consoles like Microsoft XBOX360, Sony PS4, and Nintendo Switch, etc.
- Multi languages OSD menu, for power management, brightness/contrast adjustment, etc.
- 3.5mm audio jack, speaker connector, supports HDMI audio output
- Also supports VGA input (specific cable is required and should be purchased separately)
- Supports NVIDIA Jetson Nano Developer Kit, Compute Module 3/3+
- 8 Megapixels
- Sensor: Sony IMX219
- Resolution: 3280 × 2464
- Lens specifications:
- CMOS size: 1/4inch
- Aperture (F): 2.0
- Focal Length: 2.96mm
- Angle of View (diagonal): 77 degree
- Distortion: < 1%
- Lens dimensions: 6.5mm × 6.5mm
- 4 screw holes
- Used for attachment
- Provides 3.3V power output
- Dimension: 25mm × 24mm
What's On Board?
- Micro SD card slot: insert a 16GB or larger TF card for main storage and writing system image
- 40-pin expansion header
- Micro USB port: for 5V power input or for USB data transmission
- Gigabit Ethernet port: 10/100/1000Base-T auto-negotiation
- 4x USB 3.0 port
- HDMI output port
- DisplayPort connector
- DC jack: for 5V power input
- 2x MIPI CSI camera connector
Specifications:
| GPU | 128-core Maxwell |
|---|---|
| CPU | Quad-core ARM A57 @ 1.43 GHz |
| Memory | 4 GB 64-bit LPDDR4 25.6 GB/s |
| Storage | 64GB Class10 Micro SD card |
| Video Encoder | 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) |
| Video Decoder | 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265) |
| Camera | 2x MIPI CSI-2 DPHY lanes |
| Connectivity | Gigabit Ethernet, M.2 Key E expansion connector (Recommendation: AC8265 Dual-mode NIC) |
| Display | HDMI and DP |
| USB | 4x USB 3.0, USB 2.0 Micro-B |
| Extension Interfaces | GPIO, I2C, I2S, SPI, UART |
WIKI: https://www.waveshare.com/wiki/Jetson_Nano_Developer_Kit_Package_C
Get Hands-on with AI and Robotics. Small Size. Small Price. Big AI Discoveries.
Discover the power of AI and robotics with NVIDIA Jetson Nano 2GB Developer Kit. It's small, powerful, and priced for everyone at a much lower price. This means educators, students, and other enthusiasts can now easily create projects with fast and efficient AI using the entire GPU-accelerated NVIDIA software stack.
Learning by doing is key for anyone new to AI and robotics, and the Jetson Nano 2GB Developer Kit is ideal for hands-on teaching and learning. Unlike online-only learning, you'll see your work on the developer kit perceive and interact with the world around you in real time.
Thousands of Jetson Nano developers actively contribute videos, how-tos, and opensource projects in addition to the free and comprehensive tutorials offered by NVIDIA. These start with an introductory "Hello AI World," continue to robotics projects such as the open-source NVIDIA JetBot AI robot platform, and lead to the next level of robotics development with NVIDIA Isaac.
All these resources are enabled by NVIDIA JetPack, which brings to each Jetson developer the same CUDA-X software and tools used by professionals around the world. JetPack includes a familiar Linux environment and simplifies the development process with support for cloud-native technologies such as containerization and orchestration.
The Jetson Nano 2GB Developer Kit delivers incredible AI performance at a low price. It makes the world of AI and robotics accessible to everyone with the exact same software and tools used to create breakthrough AI products across all industries. There's no better way to start.
| GPU | 128-core Maxwell |
|---|---|
| CPU | Quad-core ARM A57 |
| Memory | 2 GB 64-bit LPDDR4 | 25.6 GB/s |
| Storage | micro SD card |
| Video Encoder | 4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265) |
| Video Decoder | 4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 | (H.264/H.265) |
| Camera | 1x MIPI CSI-2 DPHY lanes |
| Connectivity | Gigabit Ethernet, USB WiFi |
| Display | HDMI |
| USB | 1x USB 3.0 Type A, 2x USB 2.0 Type A, USB 2.0 Micro-B |
| Extension Interfaces | GPIO, I2C, I2S, SPI, UART |
| Dimensions | 100 x 80 x 29 mm |
Introduction
- Micro SD card slot (bottom side): insert a 16GB or larger TF card for main storage and writing system image
- 40-pin expansion header
- USB 2.0 Micro-B
- Gigabit Ethernet port: 10/100/1000Base-T auto-negotiation
- USB 2.0 type A
- USB 3.0 type A
- HDMI output port
- USB-C 5V 3A: for 5V power input
- MIPI camera connector
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