jetson nano

The NVIDIA Jetson Nano Developer Kit delivers high-end computing performance to run modern artificial intelligence workloads at a previously minimal form factor, power, and cost. Developers, learners, and makers are now running AI frameworks and models for applications such as image classification, object detection, segmentation, and speech processing. The developer kit can be powered by micro USB and has extensive I/O from GPIO to CSI. This allows programmers to easily connect a variety of new sensors to enable a variety of AI applications. Very energy efficient with power consumption as low as 5 watts. Jetson Nano is also supported by NVIDIA JetPack, which includes Board Support Package (BSP), Linux OS, N-VI-DIA CUDA, cuDNN and TensorRT for deep learning, computer vision, GPU computing, multimedia Software library handling and more. The software even works with an easy-to-flash SD card image, making getting started quick and easy. The same JetPack SDK is used across the entire NVIDIA Jetson product line and is fully compatible with N-VI-DIA's world-leading AI platform for training and deploying AI software. This proven software stack reduces developer complexity and overall effort.

【AI Large Model Interaction & Embodied Intelligence】Rosmaster A1 supports dual-model dynamic reasoning, enhanced RAG search, and free conversation interruption. It recognizes the described scene and boasts superior environmental perception, reasoning, and intelligent execution capabilities, enabling natural, smooth, and context-aware human-computer interaction. 【Controller Options for Diverse Applications】Rosmaster A1 Ackerman robot supports 5 different development board configurations: Jetson Orin Nano Super 8GB/Raspberry-Pi5/Jetson Nano B01 4GB/RDK X5, catering to needs from beginners to advanced developers. Recommended for Orin Nano Super Version, high-performance deep learning research and computation, supporting more complex AI models. 【High-performance hardware configuration】Adopts Ackerman steering chassis to realize road sign and traffic light recognition, close to actual driving, helping users develop autonomous driving technology; equipped with Nuwa-HP60C depth camera+TminiPlus lidar/SLAM C1 Lidar, using high-torque 520 motor; large-capacity battery, battery life increased by 170%, and comes with a large-capacity TF card to meet multi-tasking needs. 【Relocalization SLAM Navigation】The upgraded SLAM with Relocalization system, high flexibility, requiring no environmental modifications. The map is stored in software, allowing for dynamic changes to tasks, paths, and destinations. It's ideal for complex, dynamic environments with frequent task changes. It also supports various AI applications such as SLAM mapping, path planning, object recognition, and target tracking. 【Open Source Ecosystem & Professional Support】Compatible with ROS2/open source code, it provides detailed tutorials and an SDK. Expandable with accessories like robotic arms and sensors, it's suitable for AI research, educational experiments, smart home control, and more. It's an excellent choice for STEM education and robotics programming enthusiasts.

【AI Large Model Interaction & Embodied Intelligence】Rosmaster A1 supports dual-model dynamic reasoning, enhanced RAG search, and free conversation interruption. It recognizes the described scene and boasts superior environmental perception, reasoning, and intelligent execution capabilities, enabling natural, smooth, and context-aware human-computer interaction. 【Controller Options for Diverse Applications】Rosmaster A1 Ackerman robot supports 5 different development board configurations: Jetson Orin Nano Super 8GB/Raspberry-Pi5/Jetson Nano B01 4GB/RDK X5, catering to needs from beginners to advanced developers. Recommended for Orin Nano Super Version, high-performance deep learning research and computation, supporting more complex AI models. 【High-performance hardware configuration】Adopts Ackerman steering chassis to realize road sign and traffic light recognition, close to actual driving, helping users develop autonomous driving technology; equipped with Nuwa-HP60C depth camera+TminiPlus lidar/SLAM C1 Lidar, using high-torque 520 motor; large-capacity battery, battery life increased by 170%, and comes with a large-capacity TF card to meet multi-tasking needs. 【Relocalization SLAM Navigation】The upgraded SLAM with Relocalization system, high flexibility, requiring no environmental modifications. The map is stored in software, allowing for dynamic changes to tasks, paths, and destinations. It's ideal for complex, dynamic environments with frequent task changes. It also supports various AI applications such as SLAM mapping, path planning, object recognition, and target tracking. 【Open Source Ecosystem & Professional Support】Compatible with ROS2/open source code, it provides detailed tutorials and an SDK. Expandable with accessories like robotic arms and sensors, it's suitable for AI research, educational experiments, smart home control, and more. It's an excellent choice for STEM education and robotics programming enthusiasts.

【Jetson Nano SUB Core Parameters】★GPU: 128-core Maxwell ★AI computing power: 473GFLOPS ★CPU: Quad-core ARMA57 @1.43 GHZ ★Network: Support USB high-speed network card, support M.2 dual-band high-speed network card ★Storage: Support 16GB eMMC 【Rich Interfaces, Powerful Functions】Four USB 3.2 Gen 1 high-speed interfaces can access more and richer peripherals, USB3.2Gen 1 high-speed transmission; supports 2 CSI cameras or 1 binocular camera, very suitable for use Parallax algorithm ranging for face recognition, live body detection, VR vision recording and other applications; supports DisplayPort interface and HDMI high-definition interface. 【Comparison between】Both have the same motherboard performance, onboard resources, size, and interface layout. The only difference is that the SUB version comes with 16GB eMMC storage, and you can easily and quickly start the motherboard without a TF card. Compared with TF cards, eMMC is faster, more stable, and more capable of adapting to the environment, and is more in line with the system environment construction of current edge devices. 【Supports Al Large Model Voice Module】The Al large model voice module comes with high-perfor-mance microphone and a speaker, supporting far-fieldsound pickup, echo cancellation, and ambient noise reduc.tion. Combined with a large language model and voicemodel, it enables natural and smooth human-computerinteraction, making it easy to build intelligent voice interac.tion terminals.Supports offline and online AI large language models, enabling visual recognition and intelligent responses. 【Wide application scenarios】This product is suitable for AI robots, drone data processing, urban road identification, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 18.04 system and AI vision and ROS development materials. Provide relevant information.

The batt are NOT included. Please note that the batt length SHOULD be less than 67mm, some batt with protection plate in the market are NOT supported. Powered by Jetson Nano. Fully compatible with JetBot open source project.Deep Learning, Autonomous Driving.Capturing Moving Objects On The Video By Motion Detection. 180° Wide Angle Rotation, Flexible Controlling.High Torque, High Torque, High Precision, Preventing It From Being Stuck And Damaged.Recognizing And Locking Specified Color By Camera, And Then Using Pan & Tilt To Track The Specified Color Automatically. input coordinate of the target, calculating the moving angles of the 4-DOF servos by inverse kinematics algorithm, and then controlling the servos via serial bus, moving the robotic arm to reach target position. ai kit mobile robot vision jetson nano developer project track rotation arm flexible controlling digital servo camera display image auto network autonomous driving training motion detection

【Flagship Performance, Outperforming All】Offers four development board options: Raspberry Pi5, Jetson Nano B01, RDK X5, and Orin Nano 8GB SUPER. The RDK X5 and Orin Nano, with their powerful computing capabilities, can perfectly run visual autonomous driving and road network planning simultaneously, achieving frame rates of up to 22-25fps for a smooth experience. 【AI Large-Scale Model Fusion, AI Voice Interaction】Deeply integrates AI large-scale language models to achieve intelligent voice interaction. Integrates iFlytek Spark/OpenRouter. Pre-installed AI large-scale model fusion SLAM sandbox navigation eliminates the need for map reconstruction; experience autonomous driving right out of the box. (Map sold separately) 【Dual-Core Technology, Unlocking Autonomous Driving】Innovatively integrates two core technologies: visual autonomous driving (lane keeping + road sign recognition) based on powerful GPU computing power, and road network planning technology based on ROS 2. It can simulate real-world road driving, offering more professional gameplay and closer resemblance to industrial application scenarios. 【High-Performance Hardware Configuration】Utilizing a Mecanum wheel chassis for road sign and traffic light recognition, closely mimicking real-world driving and assisting users in developing autonomous driving technologies; equipped with a Nuwa-HP60C depth camera + TminiPlus Lidar/SLAM C1 Lidar, and a high-torque 520 Nm motor; a large-capacity battery provides 170% longer battery life, and includes a large-capacity TF card/SSD to meet multitasking needs. 【Rich Configuration and Professional Resources, From Beginner to Expert】Includes a full-stack AI large-scale model-specific course and detailed robot resources. Yahboom provides professional technical support, helping users easily get started and deeply master ROS and AI robot technologies, from development board large-scale models to robot applications.

★Raspberry Pi includes temperature control expansion board, 64GTF card, card reader Jetson Nano includes M.2 wireless network card, radiator, 64G U disk 【Programmable AI Vision Robot Kit】Transbot SE crawler robot is a professional programming kit for entry-level ROS system and vision development. Equipped with Jetson Nano 4GB SUB/Raspberry Pi5 (4GB) , it is simple and fast to operate and easy to teach. Deep Learning for AI with Python and C. (motherboard optional) 【AI Function Combination】 The crawler robot arm robot kit is rich in functions, equipped with a Moveit robot arm, which can realize face recognition, QR code scanning, collision detection, and gesture recognition. It has functions such as tracking, automatic driving, fixed-point or multi-vehicle control, and platooning. With remote control handle control, deep play and easy control. 【Professional hardware】 Transbot SE tank-type robot has a high-end aluminum alloy crawler chassis, a two-degree-of-freedom high-definition camera, a 520 powerful encoding motor, an intelligent steering gear and a Yahboom professional robot 4WD expansion board, which can cope with various complex grounds and can be stable and Easy pass. Users can follow the video instructions to complete the assembly. It's an educational and birthday gift that improves teamwork skills in teens. 【Rich Programming Tutorials】 Bring you a full set of learning framework, related tools, firmware, control software and source code provided by Yahboom. Take you from the basics to understand the Transbot SE robot. You can carry out secondary development based on the existing code to make your own self-driving robot car. 【Reliable Customer Service】Yahboom robot kit products are sold to North America, Europe, South America, Asia, and are widely recognized and supported by customers. Our professional, reliable and timely technical support services. If you encounter difficulties in learning the product or AI vision programming program, please contact us. Trust Yahboom to be your programming partner.

Based on Jetson Orin Nano and Jetson Orin NX module, provides almost the same peripheral interfaces, size and thickness as the Jetson Orin Nano Developer Kit (Official Orin Nano kit), which is suitable for users to develop their applications and apply into various AI projects Expanding two 4-lane CSI interfaces for accessing cameras, suitable for AI intelligent application scenarios such as facial recognition, road marking recognition, and license plate recognition(Note: Additional adapter cable is required to connect to camera) With 4-way Tyep-A and 1-way Type-C, it can access more diverse peripherals. The USB 3.2 Gen 2 Type-A interface can support up to 10Gbps data transmission, and the Tyep-C interface can be used for system burning With DP display interface for 4K display. The 40PIN GPIO interface adopts color differentiation and expands resources such as I2C, SPI, I2S, UART, GPIO, etc. Equipped with a DC power interface, supporting wide voltage and connecting 9V~19V voltage, the interface size is compatible with 5.5 x 2.4 Plug Expanding two M.2 Key M interfaces for accessing solid-state drives and one M.2 KeyE interface for accessing wireless network cards reduces device wiring limitations and enables flexible storage and wireless expansion

NVidia Jetson ! Carrier Board !

Supports all versions of Raspberry Pi. Supports Jetson Nano / TX2 / Xavier NX / Orin series boards. Supports Windows 11 / 10 / 8.1 / 8 / 7, 10-point touch, driver free Supports automatic recognition of HDMI / DP / Type-C signal sources. Images for reference only, please refer to the package content for the detailed part list. Excellent Display & Color Performance. Wide viewing angle up to 178°, color gamut up to 72% NTSC. 100% sRGB covers more gamut area of red, green and blue, Designer-professional-grade color gamut. Up to 10-point touch, depending on the operating system. Up to 6H hardness toughened glass panel. Optical bonding, display well and dustproof Multi-language OSD menu support (can be used for power control, adjusting brightness/contrast, etc.). Support software DDC/CI brightness adjustment. Rich WiKi Resources: We provide official Wiki resources, please contact us for more information.

13.3inch IPS screen,1920x1080 hardware resolution. Toughened glass capacitive touch panel, 6H hardness Supports popular mini PCs such as Raspberry Pi, BB Black, 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, ten-points touch, and driver free Supports popular game consoles like Microsoft XBOX360, Sony PS4, and Nintendo Switch Multi languages OSD menu, for power management, brightness/contrast adjustment, etc 3.5mm audio jack, supports HDMI audio output Embedded ferrite Hi-Fi speaker Also supports VGA input (specific cable is required and should be purchased separately) 100x100mm spacing mounting holes (M4 screw hole) for general wall mount Comes with 60 Grad tilt angle stand Montagetyp Wandmontage

- Entwicklungskit mit 4 GB RAM und 1,43 GHz Quad-Core ARM Cortex-A57 Prozessor - Unterstützt KI-Workloads für Bildklassifizierung, Objekterkennung und Sprachverarbeitung - Stromversorgung über Micro-USB und umfangreiche I/Os für Sensoren - Energieverbrauch von nur 5 Watt - Unterstützt NVIDIA JetPack mit Tools für Deep Learning und Computer Vision - Einfache Installation über SD-Kartenbild - Kompat

The display orientation is portrait by default, 1080×1920 resolution (H×V). Change the software config for landscape display. The display orientation is portrait by default, 1080×1920 resolution (H×V). Change the software config for landscape display. Excellent display & color performance. Wide viewing angle up to 170°, color gamut up to 72% NTSC Up to 10-point touch, depending on the operating system. Up to 6H hardness toughened glass panel. Optical bonding, display well and dustproof

2,8–12 mm 4-faches manuelles Zoomobjektiv: 4K-USB-Kamera mit 2,8–12 mm manuellem Varifokal-Objektiv. Es ist manueller Fokus, der Ihnen die Kontrolle gibt, zu vergrößern und zu verkleinern, zu fokussieren und die Blendengröße anzupassen, um Ihrem Motiv Helligkeit zu verleihen und Sie können diese mit Hilfe einiger Schrauben am Objektiv feststellen. Diese Kamera-Debugging ist sehr professionell, verschiedene Aufnahmewinkel erzeugen unterschiedliche Ergebnisse. 4K-Ultra-HD-Auflösung: 4K-USB-Kamera mit HDR-Technologie, 2160P PC-USB-Webcam mit fortschrittlichem Sony (1/2,8 Zoll) IMX415-Bildsensor, verfügt über eine Auflösung von bis zu 3840 x 2160 bei 30 fps. Zusätzlicher IR-Sperrfilter (650 nm) für eine tolle Farbpräsentation. Standard 1/4 Zoll Schraubmontage: 4K Zoom Webcam mit massivem Aluminiumgehäuse, 1/4 Zoll Schraubenloch an der Unterseite passt auf normale Stativhalterung oder Webcam-Ständer, Clip und Halter, einfacher für mehr Anwendungen. Integriertes Mikrofon für Streaming oder Videokonferenzen, nimmt Ihre Stimme klar auf. Breiter Anwendungsbereich: Die 4K-USB-Kamera ist eine Nahaufnahme- oder Überwachungskamera für eine industrielle Anwendung, Nahinspektion, eingebettetes System, Nahaufnahme oder Überwachungskamera für eine industrielle Anwendung, USB-Kamera mit variablem Fokus zur Aufzeichnung der Vogelfütterung, hält die Aufnahme in Schleife, insbesondere für einen zufriedenstellenden Fernfokus im Freien. Plug and Play & UVC-konform: Diese 2160P USB-Webcam ist sehr einfach einzustellen und ohne komplexe Treiberinstallation. Breite Kompatibilität für Software und Betriebssysteme von Drittanbietern: Kompatibel mit Skype, MSN, Facebook, Youtube Live Streaming usw. Instant Messaging-Anwendungen. Passend für verschiedene Operationen einschließlich Windows XP/7/8/10, OS X und Linux oder Android.

Standard Raspberry Pi 40PIN GPIO,Compatible With Raspberry Pi Series Boards, Jetson Nano RTK Centimeter Level Positioning & High Update Rate,Used As Either Reference Station, Or Positioning Terminal Moving Base RTK Mode Support Concurrent Reception Of 4 GNSS Systems,Supports GPS, Beidou, Galileo, GLONASS And Still Retains Low Power Consumption Augment Systems Support,Supports Augment Systems Including SBAS, QZSS, IMES, D-GPS

RM520N-GL core module, with multi mode multi band support. Standard 40PIN GPIO extension header, supports direct attaching to Jetson Nano USB3.1 port for testing AT commands, sending messages, cloud communication, making phone call, getting GNSS positioning data, etc. 5G/4G/3G communication, supports functions like phone call, SMS, cloud communication, etc. SIM card slot, supports 1.8V / 3V SIM card. 2x LED indicators, easy to monitor the working status AT command support, based on 3GPP TS 27.007, 27.005 and V.25TER command set. Onboard audio jack and audio decoder, allows audio operation like making phone call Multi-constellation dual-band positioning: GPS, GLONASS, Beidou, Galileo, and QZSS. Operating system: compatible with Windows/Linux/Android

✨ 18,5 Zoll IPS-Bildschirm, 1920 x 1080 Hardware-Auflösung. ✨10-Punkt-kapazitive Berührung mit gehärteter Glasscheibe, Härte bis zu 6H. ✨ Annahme der optischen Bonding-Technologie für eine bessere Anzeige. ✨Bei der Arbeit mit RPi unterstützt es RPi OS/Ubuntu/Kali und Retropie. ✨Unterstützt mehrsprachiges OSD-Menü (kann zur Leistungsregelung, Helligkeits- / Kontrastanpassung usw. verwendet werden)

【Powerful ROS Master】3 ROS master controllers are available,equipped with Jetson Nano 4GB,Orin Nano Super and Orin NX Super development boards,which inject more powerful performance into DOFBOT-PRO greatly improving its AI performance in multiple fields such as mechanical control.AI vision applications and 3D depth,and making image recognition processing smoother.Support MediaPipe develop and Movelt. 【New 3D Space Tech】DOFBOT-PRO is equipped with a 3D depth camera.Combining 3D vision tech with robotic arm control to achieve depth distance measurement,recognition,and height measurement.Use the robotic arm to identify,track,and grab target objects in three-dimensional space.Through the inverse kinematics algorithm,DOFBOT-PRO realizes high-level AI projects such as arbitrary grasping,sorting,and handling in 3D space.Play with 3D AI vision! 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】DOFBOT PRO builds an interactive system centered around OpenRouter, based on 3 AI models.It incorporates 3D vision to identify the scene described by the command, and then uses multimodal to determine if the scene on screen matches the description,enabling navigation and AI visual gameplay. Its superior environmental perception, reasoning,and intelligent execution capabilities empower more advanced embodied AI applications. 【Hardware Configuration】Standard with an AI large model voice module, facilitating the use of embodied intelligence/multimodal applications; Ultimate version features a 10.1-inch IPS display (1920*1080p)；The robotic arm's end effector is equipped with a binocular 3D depth camera with a measurement range of up to 5 meters, providing accurate calculations and a first-person perspective for high-level AI projects in 3-dimensional space. 【What will you get?】DOFBOT PRO will guide you through a range of cutting-edge technologies, including ROS2 development, 3D depth vision, Large AI Model, OpenCV, YOLOv8, MediaPipe, robot inverse kinematics, MoveIt, Gazebo simulation, and AI voice interaction. You can learn ROS2, Python programming, and 3D AI vision, shortening project development cycles and fully experiencing AI!

【Powerful ROS Master】3 ROS master controllers are available,equipped with Jetson Nano 4GB,Orin Nano Super and Orin NX Super development boards,which inject more powerful performance into DOFBOT-PRO greatly improving its AI performance in multiple fields such as mechanical control.AI vision applications and 3D depth,and making image recognition processing smoother.Support MediaPipe develop and Movelt. 【New 3D Space Tech】DOFBOT-PRO is equipped with a 3D depth camera.Combining 3D vision tech with robotic arm control to achieve depth distance measurement,recognition,and height measurement.Use the robotic arm to identify,track,and grab target objects in three-dimensional space.Through the inverse kinematics algorithm,DOFBOT-PRO realizes high-level AI projects such as arbitrary grasping,sorting,and handling in 3D space.Play with 3D AI vision! 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】DOFBOT PRO builds an interactive system centered around OpenRouter, based on 3 AI models.It incorporates 3D vision to identify the scene described by the command, and then uses multimodal to determine if the scene on screen matches the description,enabling navigation and AI visual gameplay. Its superior environmental perception, reasoning,and intelligent execution capabilities empower more advanced embodied AI applications. 【Hardware Configuration】Standard with an AI large model voice module, facilitating the use of embodied intelligence/multimodal applications; Ultimate version features a 10.1-inch IPS display (1920*1080p)；The robotic arm's end effector is equipped with a binocular 3D depth camera with a measurement range of up to 5 meters, providing accurate calculations and a first-person perspective for high-level AI projects in 3-dimensional space. 【What will you get?】DOFBOT PRO will guide you through a range of cutting-edge technologies, including ROS2 development, 3D depth vision, Large AI Model, OpenCV, YOLOv8, MediaPipe, robot inverse kinematics, MoveIt, Gazebo simulation, and AI voice interaction. You can learn ROS2, Python programming, and 3D AI vision, shortening project development cycles and fully experiencing AI!

【Jetson Nano SUB Core Parameters】★GPU: 128-core Maxwell ★AI computing power: 473GFLOPS ★CPU: Quad-core ARMA57 @1.43 GHZ ★Network: Support USB high-speed network card, support M.2 dual-band high-speed network card ★Storage: Support 16GB eMMC 【Rich Interfaces, Powerful Functions】Four USB 3.2 Gen 1 high-speed interfaces can access more and richer peripherals, USB3.2Gen 1 high-speed transmission; supports 2 CSI cameras or 1 binocular camera, very suitable for use Parallax algorithm ranging for face recognition, live body detection, VR vision recording and other applications; supports DisplayPort interface and HDMI high-definition interface. 【Comparison between】Both have the same motherboard performance, onboard resources, size, and interface layout. The only difference is that the SUB version comes with 16GB eMMC storage, and you can easily and quickly start the motherboard without a TF card. Compared with TF cards, eMMC is faster, more stable, and more capable of adapting to the environment, and is more in line with the system environment construction of current edge devices. 【Supports Al Large Model Voice Module】The Al large model voice module comes with high-perfor-mance microphone and a speaker, supporting far-fieldsound pickup, echo cancellation, and ambient noise reduc.tion. Combined with a large language model and voicemodel, it enables natural and smooth human-computerinteraction, making it easy to build intelligent voice interac.tion terminals.Supports offline and online AI large language models, enabling visual recognition and intelligent responses. 【Wide application scenarios】This product is suitable for AI robots, drone data processing, urban road identification, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 18.04 system and AI vision and ROS development materials. Provide relevant information.

4G/3G/2G/GNSS Erweiterungskarte für Jetson Nano, basierend auf SIM7600G-H, weltweit einsetzbar

Umwelt-Sensorik-Modul für Jetson Nano, I2C-Bus, mit 1,3-Zoll-OLED-Display

IMX477 Sensor, 12.3MP, Applicable For Jetson Nano / Compute Module Working With Jetson Nano: Jetson Nano Developer Kit B01 And Jetson Nano 2GB Developer Kit Working With Raspberry Pi Compute Module like Compute Module 4 + IO Board And Compute Module 3 + IO Board suitable for AI applications like: facial recognition, road mark recognition, license plate number recognition, and so on. camera jetson nano developer kit megapixels sensor lens focal length view ai computer project

【Jetson Nano SUB Core Parameters】★GPU: 128-core Maxwell ★AI computing power: 473GFLOPS ★CPU: Quad-core ARMA57 @1.43 GHZ ★Network: Support USB high-speed network card, support M.2 dual-band high-speed network card ★Storage: Support 16GB eMMC 【Rich Interfaces, Powerful Functions】Four USB 3.2 Gen 1 high-speed interfaces can access more and richer peripherals, USB3.2Gen 1 high-speed transmission; supports 2 CSI cameras or 1 binocular camera, very suitable for use Parallax algorithm ranging for face recognition, live body detection, VR vision recording and other applications; supports DisplayPort interface and HDMI high-definition interface. 【Comparison between】Both have the same motherboard performance, onboard resources, size, and interface layout. The only difference is that the SUB version comes with 16GB eMMC storage, and you can easily and quickly start the motherboard without a TF card. Compared with TF cards, eMMC is faster, more stable, and more capable of adapting to the environment, and is more in line with the system environment construction of current edge devices. 【Supports Al Large Model Voice Module】The Al large model voice module comes with high-perfor-mance microphone and a speaker, supporting far-fieldsound pickup, echo cancellation, and ambient noise reduc.tion. Combined with a large language model and voicemodel, it enables natural and smooth human-computerinteraction, making it easy to build intelligent voice interac.tion terminals.Supports offline and online AI large language models, enabling visual recognition and intelligent responses. 【Wide application scenarios】This product is suitable for AI robots, drone data processing, urban road identification, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 18.04 system and AI vision and ROS development materials. Provide relevant information.

Es gibt drei Versionen dieses 5-Zoll-LCDs. Dies ist eine 5DP-CAPLCD-B-Version, mit kapazitivem Touch-Display mit breiter Blende, optischer Bonding-Prozess 800 cd/m² hohe Helligkeit, 1024 × 600 Pixel, HDMI-Schnittstelle, USB-Typ-C-Touch-Port, kapazitive 5-Punkt-Touch, gehärtete Glasscheibe, integrierte Struktur Vollfarbiges IPS-Display-Panel: IPS-Touch-Display, bietet hervorragende Bild- und Videoanzeige-Leistung, auch wenn es nicht direkt von vorne betrachtet wird. 1024 × 600 Auflösung, bietet ein klares Bild und einen lebendigen Farbdarstellungseffekt IPS-Display mit 178° Betrachtungswinkel – hervorragende Display- und Farbleistung, breiter Betrachtungswinkel bis zu 178 ° Kapazitive 5-Punkt-Touch: mit gehärteter Glasscheibe, Härte bis zu 6H Kompatibel mit allen Versionen von Raspberry Pi --- mit Raspberry Pi 5/4B/3B+/3B/Zero 2W/Zero W/Zero/Pico/Pico W usw. ); Kompatibel mit Jetson-Serie und Windows 11/10/8.1/8/7 Wird mit Online-Anleitung (evtl. nicht in deutscher Sprache) und Online-Entwicklungsressource geliefert. Bitte überprüfen Sie: n9.cl/kiwk3

This is a binocular camera module which features dual IMX219 cameras onboard 8Megapixels of each camera,83 FOV The Camera is suitable for AI vision applications like depth vision and stereo vision. The module supports NVIDIA Jetson Nano Developer Kit B01 version, as well as Raspberry Pi CM3/CM3+ expansion boards like Compute Module IO Board Plus, Compute Module POE Board, etc. 3280 × 2464 High Resolution

720×1280 Resolution, Optical Bonding Toughened Glass Panel, HDMI Interface, IPS Panel, 5-Point Touch The display orientation is portrait by default, 720×1280 resolution (H×V). Change the software config for landscape display. Supports all versions of Raspberry Pi; Supports Ubuntu, single point touch, driver free; Supports Windows 11 / 10 / 8.1 / 8 / 7, 5-point touch, driver free Up to 5-point touch, depending on the operating system; Up to 6H hardness toughened glass panel; Optical Bonding, display well

Das NVIDIA Starter Kit - Jetson Nano ist ein umfassendes Entwicklungsboard, das speziell für die Entwicklung von KI- und maschinellen Lernanwendungen konzipiert wurde. Es enthält die offizielle Jetson Nano 2GB Karte, die eine leistungsstarke Plattform für die Verarbeitung von Daten und die Ausführung komplexer Algorithmen bietet. Das Kit umfasst zudem ein robustes Stahlgehäuse, das den Schutz und die Langlebigkeit des Boards gewährleistet. Mit einem leistungsstarken Netzteil, das mit vier Adaptern geliefert wird, ist eine flexible Stromversorgung sichergestellt. Das Kit enthält ausserdem eine Kamera der Version 2, die für Bildverarbeitungsprojekte genutzt werden kann, sowie ein HDMI-Kabel für die Verbindung mit Displays. Ein Montagesatz ermöglicht eine einfache Installation, während der Power- und Reset-Button eine benutzerfreundliche Bedienung unterstützt. Mit 2 Gigabyte Arbeitsspeicher bietet das Jetson Nano Starter Kit eine solide Grundlage für Entwickler, die innovative Projekte im Bereich der künstlichen Intelligenz und Robotik realisieren möchten.

Die Trägerplatine zusammen mit Jetson Nano-Modul, offizieller Kühlkörper und mehr zusätzlichem Zubehör Basierend auf KI-Computern Jetson Nano und Jetson Xavier NX, bietet fast die gleichen IOs, Größe und Dicke wie das Jetson Nano Developer Kit (B01), bequemer für die Aufrüstung des Kernmoduls. Durch die Nutzung der Kraft des Kerns Modul, es ist qualifiziert ied für Felder wie Bildklassifizierung, Objekterkennung, Segmentierung, Sprachverarbeitung usw. und kann in verschiedenen KI-Projekten verwendet werden. Kompatibel mit Jetson Nano und Jetson Xavier NX 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264) /H.265. )

Compatible With Orin Modules: Supports Connecting To Jetson Orin Nano Module And Jetson Orin NX Module Connect To CSI Camera: Expands 2xCSI Camera Interfaces For AI Intelligence Applications Such As Face Recognition Road Sign Detection, Lane Line Detection, And License Plate Recognition 7xUSB Ports: Supports Connecting To More Peripherals, USB 3.2 Gen 2 Ports For Data Transmission Up To 10Gbps, Type-C Port Can Be Used For System Burning, And Onboard 2xUSB 2.0 FFC Connectors 4K High Definition Output: Supports DP High-Definition Port. Color-Coded 40PIN GPIO Header: Color-Coded Header Pins To Differentiate IO Resources Such As I2C, SPI, I2S, UART, GPIO, Etc. Flexible Storage And Wireless Expansion: Onboard 2xM.2 Key M Ports For Easy Connecting Solid State Drives And 1xM.2 Key E Interface For Connecting Wireless NIC, Which Can Reduce Cable Connection