The ThinkRobotics NVIDIA Jetson Nano Development Kit (4GB) comes withan interface rich carrier board from SEEED studio,with Jetpack preinstalled.

The J101 carrier board is a cost-effective and interface-rich NVIDIA Jetson Nano compatible carrier board. It included HDMI2.0, 2x USB 2.0, 1x USB 3.0, micro SD card slot, 2 xCSI, M.2 key E WIFI / BT, GPIO, I2C, I2S, Fan, and other rich peripheral interfaces. It has nearly the same functional design and exactly the same size as the carrier board of NVIDIA Jetson Nano B01.

Color of the case may vary. For customization of 3D Printed case, and programming – please contact us.The carrier board and modules come with a 1 year manufacturer’s limited warranty supported by ThinkRobotics.

Note: Power supply is not included in the kit and needs to be bought separately.

100+ units available. Usually ships in 3 working days.

Documentation & Wiki:Please also check out Seeedwikiguide including getting started with Jetson Nano and also building different projects.

Features

• Perfectly suited: Design for Jetson Nano Module (260-pin SODIMM).
• Dev Kit carrier board alternative: 1:1 matches the size and nearly the same functional design as the carrier board of Nvidias official Nano Developer kit.
• Expandable storage: SD card slot for storage expansion of Nano module (16GB eMMC).
• Richperipherals: Higher performance stability consists of USB3.0, USB 2.0 ports, M.2 key E for WIFI, RTC,Raspberry Pi GPIO 40-pin, and so on.
• Super cost-effective: Suitable for the good start and quick evaluation of AI applications.
• Comes in 3D Printed Case as an option.
• Comprehensive certificates: FCC, CE, RoHS, KC.

Functionality

Working with NVIDIA Jetson Nano module, powered by NVIDIA Maxwell with 128 NVIDIA CUDA cores, it’s ready to bring the power of modern AI to everyone: makers, learners, and embedded developers.

With the NVIDIA Jetson Nano module assembled, it could support NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. With its multiple camera connectors, it is suitable for running multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing.

Edge AI Applications

Working with Jetson Nano module, reComputer J101 is ready to bring modern AI power to real-world applications such as image recognition, object detection, pose estimation, video processing, and many more. Check out the following application example with tutorials!

• Pedestrian detection by Edge Impulse

• Hard hat detectionand build custom PPE detection

• Pose Estimation with alwaysAI

• Visual anomaly detection using NVIDIA Deepstream IoT

• Retail store items detection

• Wildfire detection

• Animal detection

Find in theJetson Community Resourcespage tools and tutorials the community has created to power your development experience, and check out theCommunity Projects page to inspire your next project!

Specifications:

• Module Compatibility:Jetson Nano series
• PCB Size / Overall Size:100mmX 80mm
• Display:1x HDMIand 1x DP
• CSI Camera: 2
• Ethernet:1x Gigabit Ethernet (10/100/1000M)
• USB: 1xUSB Type-C (Power In);1x USB 3.0 Type-A (5 Gbps);2x USB 2.0 Type-A;1x USB Type-C (Device mode)
• Micro SD card:1x Micro SD card slot (48MHz CLK Frequency)
• M.2 Key E
• FAN: 1x fan connector
• Multifunctional Port:1x 40-Pin,1×12-Pin
• RTC:RTC 2-pin,RTC socket(reserved)
• Power supply:5V/4A(USB Type C)

Comparison with NVIDIA Nano series Dev kits carrier board: