Top Jetson Impact
Hiboy Electric Scooter Seat for Hiboy S2 MAX Electric Scooter Only
- VHBW 42V 2A for Jetson Electric Bike Charger, Electric Scooter Charger Compatible with Hiboy s2 pro,Jetson Bolt Pro electrick Bike, Gotrax Sisigad Scooter, 1 Prong 5.5mm Plug UL Listed.
- CHECK: You need to make sure voltage and plug interface are correct. This charger is 42V 2A to charge a 36V Lithium battery. The 1 prong plug barrel is 5.5 mm OD, 2.1 or 2.5 mm ID..
- COMPATIBILITY: This electric scooter charger output is 42V which is typical to charge a 36V Lithium battery. Compatible with Jeton Bolt Pro electrick bike, Hiboy S2 Pro,Gotrax GLX V2, Apex, XR Ultra, XR Elite,G2,G3,G4,G MAX Ultra,Vibe scooter..
- All-Round Protection: UL Listed designed with short-circuit protection, over-voltage protection, and many more advanced safety features to give you peace of mind..
- What You Get: VHBW replacement Jetson electric bike charger, welcome guide, 18-month warranty, and friendly customer service..
Check StockNVIDIA 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..
Check StockUpBright 3-Prong 42V AC/DC Adapter Compatible with Jetson V5 V6 V6-XL 36V Lithium-ion Auto Shut Off Hoverboard Electric Scooter ESBT-V5 ESBT-V6 FY-4202000 42VDC Li-ion Power Supply Battery Charger
- ...P, SCP Protection (OVP: Over Voltage output Protection. OCP: Over Current output Protection. SCP: Short Circuit output Protection). Tested Units. In Great Working Condition. UpBright 30 days money back guarantee. 1 full year service warranty..
- UpBright New Global 3-Prong Connector 42V AC / DC Adapter Compatible with Jetson V5 V6 V6-XL 36V Lithium-ion Li-ion Auto Shut Off Hoverboard Active Balance E-Scooter Electric Balancing Scooter Hover Board ESBT-V5 ESBTV5 ESBT-V5-BKG ESBT-V6 ESBTV6 ESBT-V6-Blue Model FY-4202000 FY4202000 Shenzhen Fuyuandian Power Co., Ltd +42V 42 Volts DC42V 42 V 42 VDC 42VDC Switching Power Supply Cord Cable PS Battery Charger Mains PSU (w/ 3-Pin 3Pin End Connector).
- Compatible with: Jetson V5 36V 4.3Ah Lithium Ion Active Balance Hoverboard Smart 2-Wheel Electric Balancing Scooter Hover Board ESBT-V5 ESBTV5 ESBT-V5-BKG ESBT-V5-BLU ESBT-V5-BLU-C.
- Jetson V6 V6-XL 36V 4.4 Ah Lithium-ion Hoverboard Active Balance E-Scooter Electric Balancing Scooter ESBT-V6 ESBTV6 ESBT-V6-Blue.
- Jetson Model FY-4202000 FY4202000 Shenzhen Fuyuandian Power Co., Ltd 42V Li-ion Battery Switching Power Supply.
- ⚠️(Please Note! that the "Jetson Hoverboard" available in a number of different Models Number and Connectors. Please Make sure Your Model or P/N :....
Check StockGeekworm 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.
Check StockGeekworm 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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- 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..
Check StockYahboom Jetson Nano/TX2-NX/Xavier NX/Raspberry Pi ROS Robot Lidar Mapping Navigation Depth Image 3D Analysis Mecanum Wheel Python Programming Learn Explore Robotic Kit (Pi Superior Ver-Without Pi)
- ROS robotic learning kit for multiple versions: Yahboom provides 4 development board versions of ROSMASRER X3, you can freely choose Jetson Xavier NX, Jetson TX2-NX, Jetson Nano or Raspberry Pi 4B, based on the different performance issues of these development boards, The smoothness of operation is worth considering, Yahboom recommends the cost-effective Jetson TX2-NX(For detailed and comprehensive introduction, please view the video on the details page: rosmaster x3).
- In-depth exploration of AI algorithms and intelligent robots: ROSMASRER X3 is equipped with a depth camera, lidar, and voice interaction module, which can realize ROS operating system, RTAB 3D mapping navigation, PCL 3D point cloud, SLAM mapping navigation, Machine vision applications, Voice interactive control, Python programming, STM32 development, MediaPipe development, YOLO model training, TensorRT acceleration (Note: Different features depend on the version you choose).
- Rich course materials and professional after-sales support team: We provides 103 dual-language video courses, and online technical assistance (China time). The course content includes: ROSMASTER X3 assembly, Linux operating system, ROS and openCV series courses, depth camera and lidar mapping and navigation expla....
Check StockUpBright 3-Prong AC/DC Adapter Compatible with Jetson Impact JIMPAC 25.2V 4.0Ah Lithium-Ion Battery Hooverboard Extreme-Terrain Hover Board JIMPAC-Gry JIMPAC-BLK JIMPAC-RGD 29.4V Power Supply Charger
- ... SCP Protection (OVP: Over Voltage output Protection. OCP: Over Current output Protection. SCP: Short Circuit output Protection). Tested Units. In Great Working Condition. UpBright 30 days money back guarantee. 1 full year service warranty..
- UpBright New Global 3-Prong Connector 29.4V AC / DC Adapter Compatible with Jetson Impact JIMPAC 25.2V 4.0Ah 25.2 VDC 25.2VDC Lithium-Ion Li-ion Battery Hooverboard Extreme-Terrain Hover Board JIMPAC-GRY JIMPAC-BLK JIMPAC-RGD JIMPACGRY JIMPACBLK JIMPACRGD +29.4V 1.5A DC29.4V 1500mA 29.40V 1.50A 29.4 Volt 1.5 A 29.4 Volts 1500 mA 29.4 VDC 29.4VDC Power Supply Cord Cable PS Charger Mains PSU (w/ 3-Pin 3Pin End Connector).
- ⚠️(Please Note! that the "Jetson Hooverboard" available in a number of different Models Number and Connectors. Please Make sure Your Model or P/N : Match this Listing. Thank you.).
- ⚠️!!!Note: Rechargeable batteries don't last forever, the average battery last 1 to 3 years. If the battery is old/dead, it will not accept a charge. But not charger's problem. If you're not sure whether battery or charger is dead or not. You must have a volt meter in order to tell whether or not a charger is working..
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- 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..
Check StockYahboom 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....
Check StockDedicated 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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- 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..
Check Stock