jetson nano

High-performance Dual Controller: the lower host computer is ESP32, which is responsible for precise motor PID control and multiple sensor readings, while the upper host computer, Jetson Orin Nano(Included), provides high-level arithmetic, and the two-layer architecture makes the robot run more efficiently. Machine vision function: integrated with color, object, gesture recognition, face, motion detection and other machine vision functions. Expandability: The structure is equipped with an expansion plane and a herringbone rail, which is convenient for expanding other tactical accessories; in terms of hardware, the LED light interface has a surplus, which can be used for expanding other peripherals such as the water bullet gun, and the product can also be expanded with 4G and 5G module, which is convenient for user to realize more possibilities. With 2 geared motors with encoders for closed-loop speed control, offering strong power Open source code: the upper computer is developed based on the latest version of the Raspberry Pi system (Debain Bookworm), the WEB application is based on Flask, Python language, the software platform is all open source, which is convenient for users to learn and secondary development. Rich interaction: real-time video streaming, digital zoom, photo, video and other functions, and WEB application real-time video function and robot information displayed on the screen. Wide Viewing Angle: Equipped with a 2-degree-of-freedom, high-torque flexible gimbal that provides a wide 360° viewing angle in all directions horizontally; paired with a 5-megapixel camera with a 160° ultra-wide angle, it captures a wider range of images. Multi-Independent Suspension System: Equipped with four independent suspensions on each side, the suspension shrinks and the rear wheels provide extra support when climbing a slope with heavy loads, providing excellent climbing ability. Cross-platform remote control: support the realization of cross-platform remote control, no need to install APP, you can use Dandelion, Cpolar, LocalTunnel and other programs according to the tutorials for remote control beyond the scope of the LAN. Long endurance: Adopting 3S lithium batt UPS power supply system, it supports charging and using at the same time, which ensures a long endurance. Also, a wealth of JupyterLab interactive tutorials, graphic/video tutorials are available.

[Embodied Intelligent Experience] The ROSMASTER M3 Pro utilizes the ROS2 system and the latest inference architecture to deliver a superior user experience. It can perceive and analyze its surroundings, interact with users via voice, and supports free interruption. Users do not need to issue specific voice commands; the robot automatically understands and executes their needs perfectly. [Large-Scale AI Model and OpenClaw Deployment Enablement] The M3 Pro is based on OpenRouter and employs an interactive system centered around three AI models. It supports the deployment of large-scale multimodal AI models, including online access and local offline deployment. Deep integration enables remote voice and text commands, autonomous task decomposition, intelligent decision-making, and complex task execution. [High-Performance AI Robot] The M3 PRO is equipped with six intelligent serial bus servo motors, a 3D binocular depth camera, a built-in large-scale AI model voice module, and a large-scale multimodal AI model, enabling various applications including 3D spatial grasping, target tracking, object classification, scene understanding, and voice control. [Version Notes] The ROSMASTER M3 Pro comes in 12 versions: one with a 7-inch IPS touchscreen, and another without. Each version is further divided into 6 different main control chips: Orin NX 16GB / Orin NX 8GB / Orin Nano 8GB / Jetson Nano B01 / Raspberry Pi 16GB / Raspberry Pi 8GB. For efficient robot operation, a high-performance development board is recommended. [Comprehensive Courses] Over 200 course materials help you quickly learn and experience the fun of artificial intelligence. Yahboom's course code is completely open source. If you encounter any technical problems, please contact Yahboom; our technical support team will assist you.

Fanless aluminum‑alloy passive cooling case with copper heat pipes for Jetson Orin Nano / NX, no fan noise. Precise cutouts work with JETSON‑ORIN‑IO‑BASE / IO‑BASE‑H carrier boards for full‑port access. Built‑in power button with indicator LED for easy local power control. DIN‑rail mounting holes reserved (rail excluded) for cabinet‑style industrial installation. Comes with full assembly accessories, ideal for compact edge‑AI and machine‑vision deployments.

Fanless aluminum‑alloy passive cooling case with copper heat pipes for Jetson Orin Nano / NX, no fan noise. Precise cutouts work with JETSON‑ORIN‑IO‑BASE / IO‑BASE‑H carrier boards for full‑port access. Built‑in power button with indicator LED for easy local power control. DIN‑rail mounting holes reserved (rail excluded) for cabinet‑style industrial installation. Comes with full assembly accessories, ideal for compact edge‑AI and machine‑vision deployments.

【5 Master Controllers】5 master controllers are available, one of which is for educational robotic arms, which can be seamlessly integrated with the Jetson Nano/Orin Nano SUPER/Orin NX SUPER ecosystem. Built on 5 master controllers and running Ubuntu 22.04, it is an ideal development tool for developing robots and programming. It supports multiple fields such as robot algorithm development and ROS simulation learning. ☆ Orin NX 16GB SUPER version is recommended. 【UR-type mechanical structure】The 7axis collaborative robot developed for user-defined programming has greater flexibility than traditional robotic arms.The smooth body and adaptive gripper have a larger range of motion and can reach more and more precise positioning.Using AI to control its movement and speed, it can achieve millimeter-level positioning and operation.It can work safely with people,is compact, and has many interfaces,making it a collaborative partner on your desktop. 【Programmable&ROS system】Explore the possibilities of RoboFlow,the industrial robot software of elephant robot.Relying on the original Jetson Nano open source ecosystem,Jetcobot provides rich development interfaces, Python driver libraries and built-in ROS environment to make your development easier and faster. It supports multiple programming languages, various software interaction methods and is for a wide range of app. Explore the unlimited potential of this collaborative robot arm. 【AI Vision & Remote Control】Equipped with building blocks and stickers, it can realize recognition, tracking and grabbing actions, fully reflecting the AI ​​characteristics of the robot arm. Equipped with a USB game controller remote control to achieve the best control experience; create a Jupyter Lab page online. 【Tutorials provided】All information and instructions are in English.We provide high-quality technical support services. If you need help, please contact Yahboom.Jetcobot is recommended for individuals with a basic understanding of programming, not for beginners.Considering the threshold of product use,we strongly recommend that you read the instructions carefully before operation.Please pay attention to the power adapters in the list.If you use them interchangeably, they will burn out.

Fanless aluminum‑alloy passive cooling case with copper heat pipes for Jetson Orin Nano / NX, no fan noise. Precise cutouts work with JETSON‑ORIN‑IO‑BASE / IO‑BASE‑H carrier boards for full‑port access. Built‑in power button with indicator LED for easy local power control. DIN‑rail mounting holes reserved (rail excluded) for cabinet‑style industrial installation. Comes with full assembly accessories, ideal for compact edge‑AI and machine‑vision deployments.

Fanless aluminum‑alloy passive cooling case with copper heat pipes for Jetson Orin Nano / NX, no fan noise. Precise cutouts work with JETSON‑ORIN‑IO‑BASE / IO‑BASE‑H carrier boards for full‑port access. Built‑in power button with indicator LED for easy local power control. DIN‑rail mounting holes reserved (rail excluded) for cabinet‑style industrial installation. Comes with full assembly accessories, ideal for compact edge‑AI and machine‑vision deployments.

Dieses Bundle enthält vier 12MP IMX477 Farbkamera-Module sowie das Camarray Kamera HAT, das für den Raspberry Pi, Nvidia Jetson Nano und Xavier NX konzipiert ist

✅Kit Selection:Options for host controller (Jetson Orin Nano 4GB), or you can choose the Acce Version if you've got a Jetson Orin module (including its baseboard). This is a Acce version which DOES NOT include a Jetson Orin Nano 4GB Kit. High-performance Dual Controller: the slave computer is ESP32, responsible for precise motor PID control and multiple sensor readings; the host computer Jetson Orin Nano offers high computational power. The two-layer architecture makes the robot run more efficiently. Rich Tutorials: Offers rich JupyterLab, graphic and video tutorials covering various functionalities to help users quickly get started and use the robot, thereby accelerating the realization of innovative applications. Wide Viewing Angle: Equipped with a 2-degree-of-freedom, high-torque, flexible pan-tilt that provides a wide 360° viewing angle horizontally, and a 5-megapixel camera with a 160° wide-angle, it captures a wider range of images. Robot Vision: Integrated with machine vision functions such as color, object and gesture recognition, face and motion detection, it can be extended for more applications. Abundant Interaction: Real-time video streaming, digital zoom, photo, video, and other functions, and WEB application of real-time video functions and robot information displayed on the screen to improve the user interaction experience. Cross-platform Support: Supports cross-platform remote control without the need to install an app. You can follow tutorials to implement remote control beyond the local network using solutions such as Pgyer, Cpolar, LocalTunnel, and others. Durable Structure: The 2mm thick aluminum alloy case provides outstanding structural strength and durability. High-Performance Drive Motors: Equipped with four motors with encoders, enabling closed-loop speed control. With a maximum speed of 1.3m/s, it delivers robust power. All-Drive and High-Quality Tires: Featuring a four-wheel drive system paired with soft, non-slip rubber tires, ensuring excellent traction and stability on various terrains. Expandability: features a mounting plate and Picatinny rails, facilitating the attachment of additional tactical accessories. On the hardware side, there are spare interfaces available for LED lights, which can be used for expanding peripherals such as water guns. Additionally, the product can be expanded with 4G or 5G modules, enabling users to explore more possibilities. Open-source Code: The host controller is based on the latest version of the Raspberry Pi system (Debain Bookworm) development, WEB applications based on Flask, Python language, the software platform is all open source, easy for users to learn and secondary development.

Basierend auf dem 40-PIN-GPIO-Schnittstellendesign für Raspberry Pi, geeignet für Motherboards der Raspberry Pi-Serie, für Jetson Nano.

Support software DDC/CI brightness adjustment. Full-Featured Type-C Interface, Plug And Play When used for Raspberry Pi, compatible with Raspberry Pi OS, driver free; compatible with Retropie, driver free When used for Jetson Series,compatible with Jetson Nano/TX2/Xavier NX/Orin series boards; compatible with Ubuntu, driver free 1920x720 hardware resolution, Capacitive Touch Control Panel Multi-language OSD menu support (can be used for power control, adjusting brightness/contrast, etc.) Supports all versions of Raspberry Pi

【5 Master Controllers】5 master controllers are available, one of which is for educational robotic arms, which can be seamlessly integrated with the Jetson Nano/Orin Nano SUPER/Orin NX SUPER ecosystem. Built on 5 master controllers and running Ubuntu 22.04, it is an ideal development tool for developing robots and programming. It supports multiple fields such as robot algorithm development and ROS simulation learning. ☆ Orin NX 16GB SUPER version is recommended. 【UR-type mechanical structure】The 7axis collaborative robot developed for user-defined programming has greater flexibility than traditional robotic arms.The smooth body and adaptive gripper have a larger range of motion and can reach more and more precise positioning.Using AI to control its movement and speed, it can achieve millimeter-level positioning and operation.It can work safely with people,is compact, and has many interfaces,making it a collaborative partner on your desktop. 【Programmable&ROS system】Explore the possibilities of RoboFlow,the industrial robot software of elephant robot.Relying on the original Jetson Nano open source ecosystem,Jetcobot provides rich development interfaces, Python driver libraries and built-in ROS environment to make your development easier and faster. It supports multiple programming languages, various software interaction methods and is for a wide range of app. Explore the unlimited potential of this collaborative robot arm. 【AI Vision & Remote Control】Equipped with building blocks and stickers, it can realize recognition, tracking and grabbing actions, fully reflecting the AI ​​characteristics of the robot arm. Equipped with a USB game controller remote control to achieve the best control experience; create a Jupyter Lab page online. 【Tutorials provided】All information and instructions are in English.We provide high-quality technical support services. If you need help, please contact Yahboom.Jetcobot is recommended for individuals with a basic understanding of programming, not for beginners.Considering the threshold of product use,we strongly recommend that you read the instructions carefully before operation.Please pay attention to the power adapters in the list.If you use them interchangeably, they will burn out.

reComputer J2021-Edge AI-Gerät mit Jetson Xavier NX 8-GB-Modul, 4xUSB, M.2 Key E- und Key M-Steckplatz, Aluminiumgehäuse, vorinstalliertem JetPack-System reComputer J2021 ist eine leistungsstarke und kompakte intelligente Edge-Box, die bis zu 21TOPS moderne KI-Leistung an den Edge bringt. Das vollständige System umfasst die gleiche Trägerplatine mit Formfaktor wie das Jetson NX Developer Kit, ein Jetson Xavier NX-Produktionsmodul und einem Kühlkörper. reComputer J2021 ist mit Jetpack 4.6.1 vorinstalliert, vereinfacht die Entwicklung und eignet sich für den Einsatz bei Edge-KI-Lösungen, die in den Bereichen Videoanalyse, Objekterkennung, Verarbeitung natürlicher Sprache, medizinische Bildgebung und Robotik in den Branchen Smart Cities, Sicherheit, Industrieautomatisierung, Intelligente Fabriken fungieren. Technische Daten . Modul: Jetson Xavier NX 8 GB . KI-Performance: 21 TOPS . GPU: 384-Kerne NVIDIA Volta GPU . CPU: 6-Kern-NVIDIA Carmel ARMv8.2 64-Bit @1,9 GHz . CPU-Cache: 6 MB L2 + 4 MB L3 . RAM: 8 GB 128-Bit LPDDR4x @59,7 GB/s . Speicher: 16 GB eMMC 5.1 . Video-Encoder (H.265): 2x 4K60, 4x 4K30, 10x 1080p60, 22x 1080p30 . Video-Encoder (H.264): 2x 4K60, 4x 4K30, 10x 1080p60, 20x 1080p30 . Videodecoder (H.265): 2x 8K30, 6x 4K60, 12x 4K30, 22x 1080p60, 44x 1080p30 . Videodecoder (H.264): 2x 4K60, 6x 4K30, 10x 1080p60, 22x 1080p30 . LAN: 1x RJ45-Gigabit-Ethernet-Anschluss (10/100/1000) . USB: 4x USB 3.1 Typ A-Anschluss / 1x USB Typ-C (Gerätemodus) . CSI: 2x CSI-Kamera (MIPI CSI-2) . Anzeige: 1x HDMI Typ A; 1x DP . Lüfter: 5 V PWM . M.2: 1x M.2 KEY E, 1x M.2 Key M . RTC: 2-polig . GPIO: 40-Pin I/O . Spannungsversorgung: 12 V @5 A . Spannungsversorgung Anschluss: DC-Buchse (5.5/2.5 mm) . Maße (LxBxH): 130 x 120 x 50 mm Lieferumfang . Jetson Xavier NX-Modul mit 8 GB . reComputer J202 Trägerplatine . Gehäuse mit Aluminiumrahmen und Acrylabdeckung . Aluminium-Kühlkörper mit Lüfter Hinweis reComputer J2021 mit Jetson Xavier NX-Modul unterstützt AlwaysAI Accelerated Edge Deployment. Sie können ein brandneues benutzerdefiniertes Modell in nur wenigen Stunden trainieren oder sogar eines von über 130 vortrainierten Modellen aus dem Always-Dashboard auswählen, es auf Edge-Geräten bereitstellen und innerhalb von Minuten eine Computer-Vision-Anwendung erstellen! AlwaysAI beseitigt Hürden bei den Anforderungen an maschinelles Lernen und macht die Erstellung von Computer-Vision-Apps einfach, schnell und effektiv. Hersteller Informationen & Software https://wiki.seeedstudio.com/reComputer_getting_started/ https://wiki.seeedstudio.com/reComputer_Jetson_Series_Introduction/ https://wiki.seeedstudio.com/reComputer_J2021_J202_Flash_Jetpack/ https://www.nvidia.com/de-de/autonomous-machines/embedded-systems/jetson-nano/ https://developer.nvidia.com/embedded/jetpack

KKSB Jetson Orin Nano Super Developer Kit Case Aluminiumgehäuse für Jetson Orin Nano Super Developer Kit Das KKSB Jetson Orin Nano Super Developer Kit Case ist ein Gehäuse zur Aufnahme des Jetson Orin Nano Super Developer Kit. Das Gehäuse besteht aus sandgestrahltem schwarz eloxiertem Aluminium und verfügt über Belüftungsöffnungen oberhalb des Kühlkörpers. Aussparungen ermöglichen den Zugang zu Anschlüssen und Erweiterungsoptionen. Kompatibel mit Jetson Orin Nano Super Developer Kit Gehäuse aus sandgestrahltem schwarz eloxiertem Aluminium Belüftungsöffnungen oberhalb des Kühlkörpers Aussparung für 12 mm Drucktaster vorhanden 2 SMA Antennenaussparungen 2 M3 Gewindebohrungen für KKSB Camera Holder VESA 75 Schnittstelle zur Montage Gummifüße für sicheren Stand Technische Daten: Kompatibilität: Jetson Orin Nano Super Developer Kit Material: Sandgestrahltes schwarz eloxiertes Aluminium Maße: 142 × 95 × 53 mm Montage: VESA 75 Schnittstelle mit 75 mm Abstand Antennenaussparungen: 2 x SMA Gewindebohrungen: 2 x M3 für KKSB Camera Holder Anwendungsbereiche: Robotik und Automatisierung Computer Vision und Smart Camera Projekte IoT und Netzwerk Gateways Kiosk Systeme Eingebettete Systeme Industrie Steuerungspanels Das Gehäuse dient zur geschützten Montage und Integration des Jetson Orin Nano Super Developer Kit. Externe Links https://kksb-cases.com/pages/assembly-instruction-kksb-jetson-orin-nano-super-developer-kit-case

[Using rtl8822ce-cg core]supports ieee 802.11 a/b/g/n/ac. Adopts ngff (m.2 a/e key) interface. Compatible with ieee 802.11ac/m mimo ofdm wireless technology, 2-transmit and 2-receive paths [Dual-band wi-fi]supports 2.4g/5ghz dual-band, the speed up to 300mbps in the 2.4ghz band and 867mbps in the 5ghz band. [bt5.0, supports ble]Compatible with bluetooth devices such as mobile phones, computers, gamepads, etc. For wireless connection and transmission. Compatible with bt2.1+edr Compatible with linux/windows 10/11, etc.connect the antenna via the ipex interface Compatible with Jetson xavier nx/Jetson orin nx/Jetson orin nano/Jetson xavier nx development board/Jetson orin nx/nano development board

KKSB DIN Rail Clip Bracket für NVIDIA Jetson Nano, Orin und XAVIER NX DIN Rail Halterung für NVIDIA Jetson Systeme Die KKSB DIN Rail Clip Bracket ermöglicht die Montage kompatibler NVIDIA Jetson Systeme auf einer 35 mm DIN Schiene. Die Halterung besteht aus Stahl mit schwarzer Pulverbeschichtung und bietet eine platzsparende sowie stabile Lösung für verschiedene Installationsumgebungen. Das offene Design erleichtert die Integration zusätzlicher Komponenten wie Kühlkörper oder Erweiterungsboards. Kompatibel mit NVIDIA Jetson Systemen Unterstützt NVIDIA Jetson Nano 4GB und 2GB Kit, Jetson Orin und XAVIER NX. Stahlkonstruktion Gefertigt aus Stahl mit schwarzer Pulverbeschichtung. Offenes Design Ermöglicht die Montage von Zusatzboards, Kühlkörpern oder Kühlern. Sechs Montagepositionen Flexible Positionierung des DIN Rail Clips. DIN Rail kompatibel Geeignet für 35 mm DIN Rail Systeme. Technische Daten: Material: Stahl Oberflächenbehandlung: Pulverbeschichtet, Schwarz Montagepositionen: 6 Kompatibilität: NVIDIA Jetson Nano 4GB und 2GB Kit, Jetson Orin und XAVIER NX DIN Rail Kompatibilität: 35 mm DIN Rail Anwendungsbereiche: Industrieautomatisierung Smart Home Systeme IoT Projekte Eingebettete Computersysteme Robotik Bildung und DIY Projekte Die Halterung dient zur sicheren Montage kompatibler NVIDIA Jetson Systeme auf DIN Schienen in unterschiedlichen Installationsumgebungen.

Dieser Aluminiumkühlkörper bietet eine essentielle, aktive, physische und starke Luftkühlungsfunktion für die Jetson Orin NX/Orin Nano/Xavier NX Module, um Überhitzungs- und Drosselungsprobleme bei der Ausführung anspruchsvoller Rechenaufgaben zu vermeiden. entwickelt für den Dauerbetrieb anpassbare Luftstromgeschwindigkeit durch PWM-Funktion unterstützt das offizielle reComputer J401 Board Als bekannte leistungsstarke Edge-Computing-Module werden Jetson Orin NX, Jetson Orin Nano und Jetson Xavier NX in Szenarien mit hohen Berechnungsanforderungen eingesetzt. Daher ist es unerlässlich, die Modultemperaturen niedrig zu halten, und dieser hochleistungsfähige Aluminiumkühlkörper mit Lüfter wird Ihre Anforderungen erfüllen. Dieser Aluminiumkühlkörper ist eine unverzichtbare Lösung, um die Temperaturen der Jetson Orin NX, Orin Nano und Xavier NX Module unter Kontrolle zu halten. Mit der Möglichkeit zur Anpassung der Luftstromgeschwindigkeit und der Unterstützung für das reComputer J401 Board stellt dieser Kühlkörper sicher, dass Ihre Module auch bei intensiven Rechenaufgaben optimal funktionieren. Lieferumfang Aluminium-Kühlkörper: x1 Kühlkörper-Verbindungsmaterial: x1 Kühlkörperhalter: x1 Schrauben: x4 Hinweis Das reComputer J401 Board (Artnr.: JETSON ORIN IO) finden Sie unter "Zubehör & Alternativprodukte"

【Ackermann Steering Structure】The Rosmaster R2 robot car adopts the steering method of modern cars and adopts an aluminum Ackermann chassis structure. When the robot car turns, the angle of the inner ring is different, and the turning radius of the inner tube is smaller than the turning radius of the tire, which can maximize the performance of the robot car. R2 is compatible with ROS&ROS2, and Yahboom provides relevant ROS2 system programming information. 【Rosmaster R2 has 3 versions (standard version, deluxe version, ultimate version)】It can be used with 4 development boards (Raspberry Pi 5, Jetson Nano 4GB, Jetson Orin Nano SUPER, Jetson Orin NX SUPER), depending on the version you choose. Please note that a development board is included. If you would like to reduce the amount of hardware in your kit (e.g. depth camera, ridar, etc.), please contact Yahboom first. 【Based on robot operating system】is equipped with high-performance hardware such as lidar, depth camera, and voice interaction module. It can realize applications such as robot motion control, remote communication control, measurement navigation, obstacle tracking, automatic driving, human body feature action recognition, and voice alternating control. Yahboom provides tutorials, source code and professional technical support. All documentation,including installation instructions is English. 【Multi-platform linkage】Supports multiple remote control methods. For example, mobile applications, steering wheels, ROS systems, computer keyboards, etc. It is an artificial intelligence robot that listens to your commands. You can control your robot car and import your code at any time. Note: Map navigation app is only compatible with Android phones. 【Excellent hardware configuration】Aluminum alloy body, 360° omnidirectional Mecanum wheel, optional lidar, high-quality depth camera, optional voice interaction module, professionally designed expansion board. Support more development. Provide professionals with exploration models, learning algorithms, acquisition of unknown area terrain, deep learning AI visual recognition, research on autonomous driving, exploration of 3D object recognition, etc.

Based on Qualcomm X62 platform, supports 5G NSA and SA networking, with multi-mode multi-band support. Multi-constellation dual-band positioning: GPS, GLONASS, Beidou, Galileo, and QZSS USB 3.1 port (USB 2.0 compatible) for connecting to Jetson Orin, PC, or Raspberry Pi to enable high speed 5G network Onboard standard M.2 B KEY slot and module selection switches, compatible with RM520N-GL / RM530N-GL / RM500U-CNV / EM060K-GL modules. 4 x SMA antenna connectors, easy to install the antennas Reserved UART solder pads for convenient data transmission and other functions with certain modules. Onboard 1-ch Nano SIM card slot and 1-ch eSIM slot in QFN-8 (5x6) package, supporting dual SIM single standby, switchable via AT command Onboard power switch, reset button, and LED indicator for convenient power control and status monitoring. Onboard high-efficiency power supply circuit, up to 3A output current

5+1 DOF High-Torque Robotic Arm: The RoArm-M3-S features a highly flexible 5 degrees of freedom (DOF) robotic arm combined with an additional 2-DOF wrist joint. This high-torque configuration allows the arm to perform intricate tasks requiring precise movements, while its 360° rotating base ensures maximum flexibility for a variety of robotic applications. AI Integration with Hugging Face LeRobot Framework: Designed with AI capabilities in mind, the RoArm-M3-S supports the Hugging Face LeRobot AI framework, enabling users to easily integrate advanced machine learning models. This allows for applications in reinforcement learning, imitation learning, and AI-driven decision-making, making it ideal for research, development, and educational purposes. ESP32-Based Wireless Control System: The kit is powered by an ESP32 microcontroller, providing robust wireless communication through 2.4G Wi-Fi and ESP-NOW protocols. This enables low-latency control and multi-device coordination, allowing users to operate the robotic arm from a distance with smooth and responsive performance. The wireless control functionality is perfect for applications requiring remote operation. Modular and Expandable Design for Customization: The RoArm-M3-S is built with a modular and expandable design, offering easy integration with additional hardware components, such as sensors and actuators. This makes the robotic arm adaptable to a wide range of applications, from academic and research projects to professional-level automation tasks. It also supports future upgrades, allowing the kit to evolve as your needs grow. Cross-Platform Compatibility and Open-Source Software: The kit supports multiple platforms, including ROS2, Raspberry Pi, Jetson Orin, and standard PCs, making it a versatile tool for developers, engineers, and students alike. Additionally, the open-source software enables full customization, giving users the freedom to modify and adapt control algorithms to suit their specific needs, ensuring the RoArm-M3-S remains relevant for various robotic applications.

Der reServer Industrial ist ein lüfterloser, kompakter Edge-AI-Server, der durch den NVIDIA Jetson Orin Nano 4GB SoM angetrieben wird und eine AI-Leistung von bis zu 20 TOPS bietet. Er ist für den Einsatz in einem breiten Temperaturbereich von -20 bis 60°C mit einem Luftstrom von 0,7 m/s ausgelegt. Fanless Compact Edge AI Server: Angetrieben von NVIDIA Jetson Orin Nano 4GB SoM mit 20 TOPS AI-Leistung, breiter Temperaturbereich von -20 bis 60°C mit 0,7 m/s Luftstrom Multi-Stream Processing: 5* GbE RJ45 (4 für 802.3af PSE), verarbeitet mehrere Streams in Echtzeit Expandable Storage: 2 Laufwerkschächte für 2,5" SATA HDD/SSD, plus ein M.2 2280-Sockel für NVMe SSD Industrial Interfaces: Enthält COM-Port, DI/DO-Ports, CAN-Port, USB3.1 und optionales TPM2.0-Modul Hybrid Connectivity: Unterstützt 5G/4G/LTE/LoRaWAN (Modul optional) mit Nano-SIM-Kartensteckplatz Certifications: FCC, CE, UKCA, ROHS, KC Der reServer Industrial ist ein leistungsstarker Edge-Inference-Server für intelligente Videoanalytik. Er ermöglicht die einfache Aufrüstung älterer Kameras und kann vor Ort Videoanalyseaufgaben durchführen, wodurch die Notwendigkeit ständiger menschlicher Überwachung reduziert wird. Der Server konsolidiert Ihre Analyseanforderungen und erschließt AI-Fähigkeiten für vorhandene Kameras und Video Management Systeme (VMS). Mit dem NVIDIA Jetson Orin Nano 4GB Prozessor, der eine AI-Leistung von bis zu 20 TOPS bietet und mehrere Video-Streams in Echtzeit verarbeiten kann, ermöglicht der reServer die Anwendung leistungsstarker Filter für kritische Einblicke in umfangreiches Videomaterial. Für die Speicherung und den Upload bietet der reServer Industrial zwei 2,5-Zoll-Festplatteneinschübe, die ausreichend Speicherkapazität für wachsende Datenanforderungen bieten. Zudem ermöglicht die Out-of-the-box-Lösung CVEDIA-RT mit verschiedenen AI-Modellen die Erkennung von Gesichtern, Fahrzeugen und Personen sowie die Schätzung von Menschenmengen. Durch Lumeo's innovative Drag-and-Drop-Tools können maßgeschneiderte Videoanalyselösungen ohne Programmierung erstellt werden. Die umfangreiche Wiki hilft bei der Einführung in die Computer Vision-Software und Entwicklungstools und führt durch jeden Schritt der Anwendung: Daten für das Training erhalten Daten für die Datensatzvorbereitung kennzeichnen AI-Modelle trainieren Modelle optimieren, um die beste Leistung auf dem Edge-Gerät zu erzielen Modell auf dem Edge-Gerät bereitstellen Remote-Management Fazit: Der reServer Industrial bietet eine umfassende und leistungsstarke Lösung für Edge-AI- und Videoanalyse-Anwendungen. Mit seiner hohen AI-Leistung, vielseitigen Schnittstellen und robusten Bauweise ist er ideal für den industriellen Einsatz und erleichtert die Implementierung maßgeschneiderter Videoanalyselösungen. Lieferumfang . reServer Industrial . DIN-Schienenhalterung . Halteschrauben (10 Stück) . 16-Pin Terminalblock für DIO . 24V/5A Netzadapter (ohne Netzkabel) . 2-Pin Terminalblock-Stromanschluss Hinweis Die spezifischen technischen Daten entnehmen Sie bitte dem Datenblatt Externe Links https://wiki.seeedstudio.com/reServer_Industrial_Getting_Started/ https://www.seeedstudio.com/blog/2023/07/28/developing-vision-ai-application-with-nvidia-deepstream-graph-composer/ https://www.seeedstudio.com/blog/2023/06/29/video-analytics-solution-in-airports-for-operation-efficiency-improving-and-safety-enhancement/

Wireless-AW-CB375NF Dual Mode Wireless NIC supports 2.4G/5GHz dual-band, the speed up to 300Mbps in the 2.4GHz band and 867Mbps in the 5GHz band Bluetooth 5.0 standard, supports BLE, compatible with Bluetooth 2.1+EDR, can be connected to Bluetooth devices such as mobile phones, computers, gamepads, etc. for wireless connection and transmission Using RTL8822CE-CG core, supports IEEE 802.11 a/b/g/n/ac. Compatible with IEEE 802.11ac/m MIMO OFDM wireless technology, two transmit and two receive paths Adopts NGFF (M.2 A/E Key) NIC interface. Access to antenna via IPEX connector. Supports OS Linux, Windows 10/11, etc. AW-CB375NF Wireless Network Interface Card (NIC) compatible with the Jetson Xavier NX/ Jetson Orin NX/ Jetson Orin Nano/ Jetson Xavier NX Development Board/ Jetson Orin NX/Nano Development Board

High-performance Dual Controller: the lower host computer is ESP32, which is responsible for precise motor PID control and multiple sensor reading, while the upper host computer Jetson Orin Nano(NOT Included), provides high-level arithmetic,and the two-layer architecture makes the robot run more efficiently. Machine vision function: integrated with color, object, gesture recognition, face, motion detection and other machine vision function. Note: this is accessory kit (no Core Board+Base Board) Expandability: The structure is equipped with an expansion plane and a herringbone rail, which is convenient for expanding other tactical accessories; in terms of hardware, the LED light interface has a surplus, which can be used for expanding other peripherals such as the water bullet gun, and the product can also be expanded with 4G and 5G module, which is convenient for user to realize more possibilities. With 2 geared motors with encoders for closed-loop speed control, offering strong power Open source code: the upper computer is developed based on the latest version of the Raspberry Pi system (Debain Bookworm), the WEB application is based on Flask, Python language, the software platform is all open source, which is convenient for users to learn and secondary development. Rich interaction: real-time video streaming, digital zoom, photo, video and other functions, and WEB application real-time video function and robot information displayed on the screen. Wide Viewing Angle: Equipped with a 2-degree-of-freedom, high-torque flexible gimbal that provides a wide 360° viewing angle in all directions horizontally; paired with a 5-megapixel camera with a 160° ultra-wide angle, it captures a wider range of images. Multi-Independent Suspension System: Equipped with four independent suspensions on each side, the suspension shrinks and the rear wheels provide extra support when climbing a slope with heavy loads, providing excellent climbing ability. Cross-platform remote control: support the realization of cross-platform remote control, no need to install APP, you can use Dandelion, Cpolar, LocalTunnel and other programs according to the tutorials for remote control beyond the scope of the LAN. Long endurance: Adopting 3S lithium batt UPS power supply system, it supports charging and using at the same time, which ensures a long endurance. Also, a wealth of JupyterLab interactive tutorials, graphic/video tutorials are available.

Arducam IMX477P V3Link FPD-Link SerDes Camera Kit for NVIDIA? Jetson Orin NX, Orin Nano

【Flagship configuration】ORBBEC Astra Pro depth camera, high-definition touch-adjustable 7-inch screen, 6-DOF robotic arm with camera AI camera, YDLIDAR 4ROS TOF ranging lidar, 80mm large-size mecanum wheel, 520 Hall encoding Geared motor, 9600MAH lithium battery pack, durable aluminum alloy body structure. NOTE: Contain the Jetson Nano development board is a Jetson Nano SUB, not official board. 【Exploration Function and Gameplay】Voice-controlled robot driving can be combined with mechanical arms for voice-controlled grabbing and other actions. It supports ORBSLAM2, Rtab-Map 3D, RRT exploration, gmapping and other algorithms for mapping, and navigation methods such as voice, lidar, Rtab-Map 3D and so on. , conventional obstacle avoidance, following, recognition, skeleton detection and other functions can be quickly realized. 【Rosmaster X3 Plus has 4 versions】The difference lies in the main control board, namely Raspberry Pi 5 8GB, Jetson nano, Jetson Orin Nano SUPER/NX SUPER. Please choose according to your needs. The main body of the robot car has been assembled, and users can start programming and operating the robot as long as they complete the installation of accessories. 【Based on ROS operating system】Through Python programming, it can learn robot arm Movelt simulation, drawing and navigation, STM32 underlying development, MaeiaPipe development, path planning and various algorithms. Yahboom provides open source materials, including video courses (English and Chinese) from basic to advanced. 【Cross-platform interconnected control】Dual APP control, real-life first-person controller, Jupyter Lab programming control, and ROS system control.

IMX477-160 12.3MP Kamera, 160° FOV, geeignet für Jetson Nano / Compute Module

1. KOMPATIBLE GERäTE: Das Mini-Kameramodul ist kompatibel mit RPi-Serie-Mainboards und Jetson Nano, verfügt über eine...

reComputer Robotics J3011 Edge KI Computer mit NVIDIA Jetson Orin Nano 8GB Der reComputer Robotics J3011 ist ein kompakter Edge KI Computer für Robotik Anwendungen. Das System basiert auf dem NVIDIA Jetson Orin Nano 8GB Modul und erreicht eine KI Leistung von bis zu 67 TOPS. Vorinstalliertes JetPack 6.2 und Linux BSP ermöglichen eine direkte Inbetriebnahme. NVIDIA Jetson Orin Nano 8GB Modul für KI Anwendungen. KI Leistung bis zu 67 TOPS im MAXN Modus. Vielfältige Schnittstellen RJ45, USB, CAN, UART und I2C. Erweiterungsmöglichkeiten M.2 Slots für 5G, WiFi und Bluetooth. Vorinstallierte Software JetPack 6.2 und Linux BSP. Technische Daten: Modul: NVIDIA Jetson Orin Nano 8GB CPU: 6 Core Arm Cortex A78AE CPU Taktfrequenz: bis zu 1,7 GHz GPU: 1024 Core NVIDIA Ampere mit 32 Tensor Cores GPU Taktfrequenz: 1020 MHz KI Leistung: 67 TOPS Arbeitsspeicher: 8 GB LPDDR5 Speicher: 1 x M.2 Key M PCIe Netzwerk: 2 x RJ45 Gigabit Ethernet USB: 6 x USB 3.2 Typ A, 1 x USB Typ C, 1 x USB 2.0 Typ C CAN: 2 x CAN0, 3 x CAN1 UART: 1 x UART I2C: 2 x I2C Versorgung: 19 V bis 54 V Leistungsaufnahme: 7 W bis 25 W Maße: 115 mm x 115 mm x 38 mm Anwendungsbereiche: Autonome Robotik Edge KI Anwendungen Sensorintegration Industrielle Automatisierung Echtzeitdatenverarbeitung Der reComputer Robotics J3011 dient als kompakte Plattform für KI basierte Anwendungen in der Robotik. Externe Links https://wiki.seeedstudio.com/recomputer_jetson_robotics_J401_getting_started/ https://files.seeedstudio.com/products/NVIDIA-Jetson/recomputer_robotics_j401.stp

✅Device & System Support: Supports all versions of Raspberry Pi. Support Jetson Nano/Jetson Orin Nano. Supports Windows 11 / 10 / 8.1 / 8 / 7, 10-point touch, driver free. Support Game Console and Smartphone ✅Configurable Display Orientation: The display orientation is landscape by default, 1920x1080 Resolution (H×V). You can change the software config to portrait display ✅Wide Viewing Angle: Excellent display & color performance. Wide viewing angle up to 178°, color gamut up to 72% NTSC ✅10-Point Capacitive Touch: Up to 10-point touch, depending on the operating system. Up to 6H hardness toughened glass panel. Optical bonding, display well and dustproof ✅Rich E-manuals & Tutorials: Provide rich electronic manuals and tutorials. Please contact sales for more information.

JetBot 2GB AI Kit, AI-Roboter basierend auf Jetson Nano 2GB Developer Kit (optional)