Reviews Jetson Nano Motors

Yahboom Jetson Nano 4GB SUB Developer Kit Nano B01 with 16G-eMMC Based on Official Jetson Nano 4GB Core Module (Jetson Nano 4GB SUB) (SUB Separate Board)

  • 4GB SUB B01 substitute ≠ official B01 (slight difference),.
  • 【Perfect Alternative】 Jetson Nano 4GB SUB is a highly consistent developer kit based on official Jetson nano 4GB core module, the only difference is that Yahboom Jetson Nano 4GB SUB motherboard comes with 16G-eMMC memory, no need to use TF separately The card can run, at the same time, it can expand the USB3.0 U disk, or use the 3.0 card reader and TF card to expand the memory. Please note that the SUB does not have an SD card slot, and the expansion of memory can only be solved through a U disk.
  • The Jetson Nano 4GB SUB Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing..
  • The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts..
  • Jetson Nano is also supported by JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUD....
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Yahboom Jetson Nano 4GB SUB Developer Kit with 16G-eMMC Based on Official Jetson Nano 4GB Core Module (UNO Balance Car)

  • 【Perfect Alternative】 Jetson Nano 4GB SUB is a highly consistent developer kit based on official Jetson nano 4GB core module, the only difference is that Yahboom Jetson Nano 4GB SUB motherboard comes with 16G-eMMC memory, no need to use TF separately The card can run, at the same time, it can expand the USB3.0 U disk, or use the 3.0 card reader and TF card to expand the memory. Please note that the SUB does not have an SD card slot, and the expansion of memory can only be solved through a U disk.
  • The Jetson Nano 4GB SUB Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing..
  • The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts..
  • Jetson Nano is also supported by JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, ....
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Waveshare 7.5inch E-Paper E-Ink Display HAT (B) for Raspberry Pi 800×480 Pixels Red/Black/White Three-Color with SPI Interface

  • No backlight, keeps displaying last content for a long time even when power down.
  • Ultra low power consumption, basically power is only required for refreshing.
  • Standard Raspberry Pi 40PIN GPIO extension header, supports Raspberry Pi series boards, Jetson Nano.
  • SPI interface, for connecting with controller boards like Raspberry Pi/Jetson Nano/STM32, etc..
  • Onboard voltage translator, compatible with 3.3V / 5V MCUs. Comes with development resources and manual (examples for Raspberry Pi/Jetson Nano/STM32).
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Stepper Motor HAT for Raspberry Pi,Jetson Nano Onboard Dual DRV8825 Motor Controller Built-in Microstepping Indexer Drives Two Stepper Motors Up to 1/32 Microstepping 5V 2.5A

  • Standard Raspberry Pi 40PIN GPIO extension header, supports Raspberry Pi series boards, Jetson Nano.
  • Protection features: Overcurrent Protection (OCP), Thermal Shutdown (TSD), VM Undervoltage Lockout (UVLO).
  • Integrates 5V regulator, allows providing power to Raspberry Pi.
  • 6 available microstepping modes, configured with the DIP switches: full-step, half-step, 1/4-step, 1/8-step, 1/16-step, and 1/32-step.
  • Adjustable motor drive current via potentiometer, maximum 2.5A current output.
  • Onboard dual DRV8825 motor controller IC with built-in microstepping indexer, drives two stepper motors, easy to use.
  • Onboard multi connector options for stepper motors in different specifications.
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Geekworm T300 V1.1 2.5 inch SATA SSD/HDD Shield Storage Expansion Board Compatible with Jetson Nano A02/B01/2GB/4GB Developer Kit

  • Geekworm 2.5" SATA HDD/SSD storage board compatible NVIDIA Jetson Nano A02/B01/2GB/4GB that supports up to 4TB 2.5-inch SATA hard disk drives (HDD) or solid-state drive (SSD), User manual, refer to Geekworm WiKi search T300..
  • Ideal storage solution for Jetson Nano- 2.5" SATA HDD/SSD Shield.
  • for the T300 metal case, refer to ASIN: B07W7CNSR8.
  • for the T130 mSATA SSD shield, refer to ASIN: B088N6VZL8..
  • A good quality power supply is required, otherwise the hard disk will not be recognized or the system will automatically shut down. THIS IS VERY IMPORTANT!! Strongly recommend ASIN: B07413Q5Y4.
  • Specially-made USB3.1 bridge to connect with Jetson Nano - no additional cables needed.
  • Intelligent power management - Automatic powering off when system shutdown.
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seeed studio - Grove - HCHO Sensor (Semiconductor VOC Gas Based WSP2110)

  • 【Powerful and Compact】Jetson Mate is a carrier board which can install up to 4 Jetson Nano/NX SoMs. There is an on board 5-port gigabit switch enabling the 4 SoMs to communicate with each other.
  • 【Easy to build and config】One master node with 3 worker nodes with the ability to power on/off the worker nodes separately.With one 65w PD power adapter and 1 ethernet cable, developers can easily build their own Jetson Cluster.
  • 【Applications】GPU Server,GPU Cluster,Homelab,etc..
  • 【Part List】Jetson Mate x 1,Jeston Mate Cooling Fan Top x 1,Jetson Mate Dedicated Case x 1.
  • 【Note】The kit does not include the 65w PD power supply, please make sure you have this sort of power supply for charging.
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Geekworm DC 5V 4007 40MM 4CM 40x40x7MM Cooling Fan for NVIDIA Jetson Nano Developer Kit and Jetson Nano Metal Case/T100 Case/T300 Case

  • Note: This cooling fan does not support PWM and speed feedback.
  • The NVIDIA Jetson Nano Developer Kit is not included in the packing list..
  • This 5V cooling fan supports to install in Geekworm NVIDIA Jetson Nano Metal Case (ASIN: B07RRRX121).
  • T300 Metal Case(ASIN: B07W7CNSR8), T100 Metal Case(ASIN: B07VYKRJQY).
  • This is an ultra-quiet cooling fan for NVIDIA Jetson Nano Developer Kit.
  • it with a 2.54 DuPont connector which is easy to insert. About how the install the fan, please refer to the photo..
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Yahboom Jetson Nano 2GB/4GB Robotic Jetbot Mini AI Programmable Python Robot Kit ROS Starter for University (2GB Ver Jetbot Mini Without Nano)

  • 【AI robotic for Jetson Nano 2GB/4GB】Jetbot mini uses Python3 as programming language, built-in ROS robot operating system, and openCV as the image processing library. It is an entry-level ROS developed robot based on 2GB/4GB. 2GB /4GB has more powerful GPU than Raspberry Pi, more cost-effective than Jetson nano 4GB. It is the best choice for AI & ROS to start exploring..
  • 【Mini but Powerful】Smart robot car is only the size of a palm, but it can complete gesture recognition, face detection, object and color recognition, color following, automatic driving, ROS image visual beautification, AR enhancement and label recognition. Intelligent open source robot for researchers who want to explore AI artificial intelligence and ROS. Due to the motherboard, all Jetbot Mini programs are separate routines..
  • 【Highly centralized】Jetbot mini's App can control the robot by joystick and gravity, control and screen are integrated into the APP to realize FPV viewing angle anytime anywhere.
  • 2GB and expansion board are connected through 40PIN pin header in-line connection, no Dupont cable is required, and it is more stable and tidy..
  • 【Accessories】Equipped with TF card which burned mirror image, users just run the corresponding program to achieve the corr....
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NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)

  • The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing..
  • The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts..
  • Jetson Nano is also supported by 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. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started..
  • The same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers..
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UCTRONICS Jetson Nano Rackmount, 19\ 1U Rack Mount Supports 1-4 Units, Front Removable with Captive Loose-Off Screws, Compatible with All Nvidia Jetson Nano A02 B01/ 2G Developer Kit

  • This 19-inch rackmount is specifically designed to house Jetson Nano boards, compatible with all models A02 B01, 2GB developer kit. The rackmount is also compatible with the Jetson Xavier NX, but the Bluetooth & wifi base on the bottom of it needs to be removed for a perfect fit..
  • This Jetson rackmount is capable of holding up to 4 modules, it allows you to enjoy rackmount solutions for multiple different types of SBCs..
  • Easy Installation: Fixed with exquisite captive loose-off screws. Perfectly protect your Jetson nano from falling to the ground. All you have to do is rotating the screws. The total installation process will not exceed 10 minutes..
  • Front Removable: Use Captive loose-off screws for true no-installation, no screwdriver is needed to introduce your module into the enclosure..
  • Application: This is a housing solution to optimize the workspace, simple and well made, providing an aesthetically pleasing way to keep things organized. It also can be used for Jetsons clusters, video walls, and so on.
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Dedicated DC 12V Cooling Fan for NVIDIA Jetson Nano Developer Kit 3PIN Reverse-Proof Connector 40mm×40mm×10mm Fan

  • Dedicated Cooling Fan for NVIDIA Jetson Nano Developer Kit.
  • Note: Jetson Nano Developer Kit and Acrylic Case are NOT included..
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2 Pack Dedicated DC 5V-12V Cooling Fan for NVIDIA Jetson Nano Developer Kit 3PIN Reverse-Proof Connector 40mm×40mm×10mm Fan

  • 2 Pack Dedicated Cooling Fan for NVIDIA Jetson Nano Developer Kit.
  • Note: Jetson Nano Developer Kit and Acrylic Case are NOT included..
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Breaking BUD/S: How Regular Guys Can Become Navy SEALs (formerly The SEAL Training Bible)

  • The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing..
  • The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts..
  • Jetson Nano is also supported by 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. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started..
  • The same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers..
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