reComputer J3011 Edge AI Computer with NVIDIA Jetson Orin™ Nano 8GB without Power Adapter -Seeed Studio The reComputer J3011 Edge AI Computer by Seeed Studio is a compact yet powerful device designed for AI, robotics, and embedded edge applications. Powered by the NVIDIA Jetson Orin Nano 8GB SoM, it delivers exceptional performance for AI inference and deep learning workloads. Pre-built with Jetpack 5.1.1 (super with JP6.2), the system includes a 128GB SSD, 4× USB 3.2 ports, HDMI, and GbE connectivity, making it versatile for development and deployment. Its carrier board offers rich expansion with M.2 Key E for WiFi, M.2 Key M for SSD, RTC, CAN, and a 40-pin header, providing flexibility for a wide range of AI-powered applications. Whether for edge computing, computer vision, or robotics, the reComputer J3011 is the ideal Edge AI computer to accelerate innovation. Features: Capable of Bringing Generic AI to the Edge. You can now create AI agents capable of analyzing enormous amounts of live or archived videos and images using Vision-Language Models (VLM) such as LLaVA. These new AI agents assist practically every industry in summarizing, searching, and extracting actionable insights from video using natural language. Create Multi-Stream AI Video Analytics. Jetson Orin Nano uses the NVIDIA Multi-Standard Video Decoder into its video analytics architecture. This video decoder speeds up video decoding by supporting low-resolution mobile material, Standard Definition (SD), High Definition (HD), and UltraHD (8K, 4K, etc). reComputer J3011 supports 11x1080p30 streams. The Fastest Way to Deploy Generative AI and Computer Vision Models We have prepared a Jetson example for you! It provides one-line deployment of edge AI apps such as Ollama and Llama3, as well as computer vision tools such as YOLOv8. We have configured the entire environment for you to allow a single command deployment of projects. Hardware Overview: reComputer J401 Carrier Board, Contained in the Entire System - reComputer J3011. Desktop, Wall Mount, Expandable, or Fit in Anywhere Applications: AI Video Analytics Machine Vision Autonomous Mobile Robot (AMR) Generative AI

reComputer J3011B - Edge AI Computer with NVIDIA Jetson Orin Nano 8GB 40TOPS The reComputer J3011B is a powerful edge AI computer designed to help developers, educators, and tech enthusiasts create intelligent, real-time AI applications. Combining high-performance computing with flexible connectivity, it’s an ideal solution for learning, prototyping, and deploying AI projects at the edge. Powered by the NVIDIA® Jetson™ Orin™ Nano 8GB module, the reComputer J3011B delivers up to 40 TOPS of AI performance. Whether you are building autonomous robots, smart city systems, or industrial automation solutions, this compact computer easily handles tasks like image recognition, object detection, and real-time decision-making. Featuring multiple USB 3.2 ports, HDMI output, Gigabit Ethernet, and M.2 slots for Wi-Fi and SSD expansion, the reComputer J3011B provides plenty of connectivity options. Its 40-pin GPIO header and CAN interface make hardware integration easy, while the fanless design ensures quiet, reliable operation. Perfect for STEM labs, research projects, and industrial use, the reComputer J3011B inspires creativity and fast-tracks your AI learning and development. Hardware Overview Features Powerful Embedded AI Platform Unlock the full potential of AI development with the Jetson Orin Nano module. Delivering up to 67 TOPS of AI performance (with OS upgrade), and operating at 25W in super mode, it’s built for high-demand applications like real-time object detection, video analytics, and autonomous control. Rich I/O for Development & Production Designed for both prototyping and large-scale deployment, the reComputer J3011B offers a wide range of interfaces: 2x USB 3.2, HDMI output, Gigabit Ethernet, M.2 Key M & Key E slots, Mini-PCIe slot, 40-pin GPIO header Flexible Connectivity Options Supports multiple wired and wireless communication protocols, including Wi-Fi and LTE, allowing seamless integration into various network environments and edge applications. Pre-Configured for Quick Deployment Comes with JetPack 5.1.3 pre-installed, with full Linux OS BSP support, and ready for JetPack 6.2 upgrade—accelerating your time to market by removing setup barriers. Certified for Safety and Compliance Built to global standards, the reComputer J3011B holds multiple certifications, including ROHS, CE, FCC, KC, UKCA, and REACH, ensuring reliable and safe usage in both development labs and production environments. Applications Smart Lamppost Smart lampposts monitor traffic with sensors and transmit data for better traffic control. They integrate solar power, store energy for night use, and may feed excess power to the grid. EV Battery Swapping/Charging System Battery swapping eases EV range anxiety. Charging stations, connected to the smart grid, optimize charging times. Some EVs can also supply power to the grid. Smart Recycling Center Sensors in recycling bins reduce waste collection trips. Energy - efficient equipment runs during off - peak hours, and recycled materials are used for smart grid and EV components.

reComputer J401 - Open-source Carrier Board for NVIDIA Jetson Orin Nano/Orin NX - Seeed Studio The reComputer J401 is a high-performance open-source carrier board designed for NVIDIA Jetson Orin Nano and Orin NX modules. It provides a reliable and efficient platform to build advanced AI applications such as robotics, industrial automation, and edge computing. With versatile I/O interfaces and robust connectivity, the J401 helps developers bring AI projects to life faster. Features Powerful AI and Processing Performance Powered by Jetson Orin Nano or Orin NX, the reComputer J401 delivers strong computing power for AI workloads. It is perfect for real-time data processing, machine vision, and smart automation tasks. Flexible Connectivity Options Includes HDMI 2.1, Gigabit Ethernet, multiple USB 3.2 ports, and M.2 slots for SSD storage or wireless modules, making it easy to connect cameras, sensors, displays, and networks. Expandable & Developer-Friendly Design Supports M.2 expansion and features an open-source design, offering flexibility for custom projects. Its compact size and durable build make it ideal for industrial use or rapid prototyping of intelligent devices. Hardware Overview Application AI Video Analytics Machine Vision Autonomous Mobile Robot (AMR) Generative AI

reComputer J401 Carrier Board for Jetson Orin Nano & Orin NX – Open-Source Expansion Board (Without Power Adapter) The reComputer J401 is an advanced NVIDIA Jetson Orin NX carrier board, purpose-built to support both Jetson Orin Nano and Orin NX modules. Designed as an open-source extension board, it breaks out a comprehensive range of I/O interfaces from the SoM, offering seamless high-speed and low-speed connectivity to meet diverse development needs. With its compact form factor, reliable performance, and developer-friendly architecture, the J401 simplifies the process of building, testing, and scaling embedded systems. Ideal for prototyping, edge deployments, and long-term product updates, it accelerates time-to-market while providing the flexibility required for robotics, computer vision, and AI-powered edge applications. Features: NVIDIA Elite Partner certified – ensuring reliable quality and compatibility. 260-pin Jetson module connector – supports both Jetson Orin NX and Orin Nano modules. Open-source hardware – flexible and developer-friendly for customization. Compact form factor – measures just 100mm x 80mm for space-saving integration. Wide operating temperature range – works reliably from -10°C to 60°C. Wireless connectivity – M.2 Key E slot for WiFi and Bluetooth expansion. Storage expansion – M.2 Key M slot supports SSD integration. High-speed networking – RJ-45 GbE port with 10/100/1000M support. Camera and display support – includes 2x CSI camera interfaces and 1x HDMI 2.1. Versatile USB options – 1x USB 2.0 Type-C (device mode) + 4x USB 3.2 Type-A (10Gbps). Stable power input – DC Jack 12V/5A for dependable operation. Optimized for edge applications – ideal for robotics, computer vision, and generative AI projects. Applications: AI Video Analytics Machine Vision Autonomous Mobile Robot (AMR) Generative AI Hardware Overview:

reComputer J4011 Edge AI Computer with NVIDIA Jetson Orin™ NX 8GB without Power Adapter The reComputer J4011 Edge AI computer is a high-performance, compact device built around the NVIDIA Jetson Orin NX 8GB module, designed for advanced AI and edge computing applications. It comes pre-installed with Jetpack 5.1.1, enabling developers to quickly deploy AI models and accelerate workflows. With a 128GB SSD, multiple USB 3.2 ports, HDMI, and GbE connectivity, it provides versatile options for peripherals and networking. The carrier board supports M.2 Key E for WiFi, M.2 Key M for additional storage, RTC, CAN, and a 40-pin GPIO, making it perfect for robotics, industrial AI, and AIoT projects. Note that the package does not include a power adapter. Features: Capable of Pushing Generic AI to the Limit Vision-Language Models (VLM), such as LLaVA, can now be used to develop AI agents capable of evaluating massive volumes of live or archival videos and images. These new AI agents help almost every industry summarize, search, and extract actionable insights from video using natural language. Create Multi-Stream AI Video Analytics Jetson Orin Nano integrates the NVIDIA Multi-Standard Video Decoder into its video analytics architecture. This video decoder accelerates video decoding by supporting low-resolution mobile content, Standard Definition (SD), High Definition (HD), and UltraHD (8K, 4K, etc.). The reComputer J3011 supports 11x1080p30 streaming. The Quickest Approach to Deploying Generative AI and Computer Vision Models We've prepared a Jetson example for you! It enables one-line deployment of edge AI apps like Ollama and Llama3, as well as computer vision tools like YOLOv8. We have prepared the entire environment so that you may deploy projects with a single command. Hardware Overview: reComputer J401 Carrier Board, Contained in the Entire System - reComputer J4011 Desktop, Wall Mount, Expandable, or Fit in Anywhere Applications: AI Video Analytics Machine Vision Autonomous Mobile Robot (AMR) Generative AI

reComputer J4012-Edge AI Device with NVIDIA Jetson Orin™ NX 16GB module reComputer J4012 is the perfect solution for advanced AI applications. It is compact, expandable, high-performing, durable, easy to integrate, versatile, and of high quality. reComputer J4012 ensures the highest quality and durability. Its NVIDIA Jetson Orin NX 16GB module provides up to 100 TOPS AI performance and guarantees exceptional computing power. The aluminum case and cooling fan offer optimal performance and longevity, making it suitable for industrial conditions and perfect for robust applications. Our reComputer J4012 is easy to use with pre-installed JetPack 5.1 on 128GB NVMe SSD and designed to solve complex AI tasks. Features: Brilliant AI Performance for production: on-device processing with up to 100 TOPS AI performance with low power and low latency Hand-size edge AI device: compact size at 130mm x120mm x 58.5mm, includes NVIDIA Jetson Orin™ NX 16GB production module, a cooling fan with a heatsink, enclosure, and a power adapter. Support desktop, wall mount, fit in anywhere Expandable with rich I/Os: 4x USB 3.2, HDMI 2.1, 2xCSI, 1xRJ45 for GbE, M.2 Key E, M.2 Key M, CAN, and GPIO. Accelerate solution to market: pre-installed Jetpack with NVIDIA JetPack™ 5.1 on the included 128GB NVMe SSD, Linux OS BSP, 128GB SSD, support Jetson software and leading AI frameworks and software platforms Comprehensive certificates: FCC, CE, RoHS, UKCA Applications: Autonomous Robots & Drones Smart Surveillance Systems Industrial Automation & Inspection Edge AI Computing AI-Powered Retail & Smart Cities Healthcare Imaging & Diagnostics Generative AI Applications Autonomous Vehicles & ADAS Prototyping Agricultural Monitoring Systems AI Research & Model Deployment Comparison Table: reComputer J4012 vs reComputer J2022 Feature reComputer J4012 reComputer J2022 AI Performance 100 TOPS (with NVIDIA Jetson Orin NX 16GB) 21 TOPS (with NVIDIA Jetson Xavier NX 16GB) Module / SoM NVIDIA Jetson Orin NX 16GB NVIDIA Jetson Xavier NX 16GB Memory 16GB LPDDR5, 128-bit, 102.4 GB/s bandwidth 16GB LPDDR4x, 128-bit, 59.7 GB/s bandwidth GPU / Architecture Ampere architecture, 1024-core GPU with 32 Tensor Cores Volta architecture, 384-core GPU Storage 128GB NVMe SSD + M.2 Key M slot 16GB eMMC 5.1 + M.2 Key M slot for SSD Form Factor & Dimensions 130mm × 120mm × 58.5mm 130mm × 120mm × 50mm Power Input 9–19V DC input via barrel jack 12V/5A via barrel jack or terminal block Target Applications High-end edge AI, multiple video streams, advanced robotics, generative AI Entry to mid-level edge AI, smart devices, vision analytics, small deployments

reComputer Mini J3011 NVIDIA Jetson Orin Nano 8GB Module with Extension The reComputer Mini J3011 NVIDIA Jetson Orin Nano 8GB Module is a compact yet powerful AI computer built around the NVIDIA Jetson Orin Nano 8GB module, delivering up to 40 TOPS of AI performance. Designed for edge AI applications, this device features a PCIe port at the bottom, allowing for extensive expansion options such as up to 8 USB ports and dual CAN interfaces. These can also be customized to suit specific project needs. With its 54V DC input support, the J3011 is ideal for integration into battery-powered systems and autonomous machines like drones, patrol robots, and delivery robots. Its small form factor combined with high computing capabilities makes it perfect for embedded AI applications in demanding environments. Features: Outstanding AI Performance in Production: The NVIDIA Orin SoC, which combines the NVIDIA AmpereTM GPU architecture with 64-bit operating capability, integrated sophisticated multi-function video and image processing, and NVIDIA Deep Learning Accelerators, achieves up to 40 TOPS AI performance with low power and latency. Hand-Size Edge AI Device: 63 x 95 x 66.7 mm, compact, including a Mini J401 carrier board, fan, enclosure, and an NVIDIA Jetson Orin Nano 8GB module. Wall and desktop mounts are supported. Generous with Rich I/Os: With dual channel CAN, GPIO, M.2 Key E, M.2 Key M, DP 1.4, up to 8 USB, and 1 RJ45 for GbE. Get Solutions to Market Faster: supported Jetson software and top AI frameworks, with JetPack 6.0 pre-installed on a 128GB NVMe SSD running Linux OS BSP. Scale to deploy: OTA and remote management services powered by Allxon and Balena are supported. Flexible Customization: based on the original design of the reComputer Mini J3011, this includes modifying the hardware interfaces, accessory modules, and logo. Pinout: Applications: Able to Push the Boundaries of Generative AI With the use of Vision-Language Models (VLM) like LLaVA, it is now possible to create AI agents that can handle vast quantities of live or recorded videos and images. These new AI agents assist almost every industry in summarizing, searching, and deriving actionable insights from video using natural language. Construct AI Video Analytics for Multiple Streams Jetson Orin NX uses the NVIDIA Multi-Standard Video Decoder to build video analytics. Standard Definition (SD), High Definition (HD), UltraHD (8K, 4K, etc.), and low-resolution mobile videos are all supported by this video decoder, which speeds up the process. 18x1080p30 streams can be captured by the reComputer J4012. View our YOLOv8 performance tests with NVIDIA Deepstream for both single and multi-model streams. The Quickest Method for Using Computer Vision and Generative AI Models We have provided a jetson-example for you. It provides one-line deploy projects for generative AI applications like Ollama and Llama3, computer vision applications like YOLOv8, and more. We have set up every environment so you can deploy projects with a single command. Run All Ultralytics YOLO Models on Jetson Orin with One Command!

reComputer R1024-10 - IoT Gateway & Controller AI Capable 4GB RAM, 16GB eMMC -Seeed Studio The reComputer R1024-10 is a powerful IoT gateway and controller designed for industrial applications. Powered by the Raspberry Pi Compute Module 4 (CM4), it comes with 4GB RAM and 16GB eMMC storage, providing reliable performance for edge computing tasks. This device supports multiple industrial communication protocols like RS485, Modbus, and BACnet, making it ideal for building automation and smart building management solutions. Hardware Overview Features Wide Industrial Protocol Support Equipped with dual Ethernet ports and 3 RS485 interfaces, the reComputer R1024-10 enables seamless communication with industrial devices. It supports Modbus and BACnet protocols, providing flexible connectivity for various applications such as energy management, access control, and environmental monitoring. AI Acceleration and Edge Computing With support for AI accelerators, the reComputer R1024-10 enables local processing of data, reducing latency and improving system efficiency. This makes it perfect for real-time decision-making in smart industrial environments, where reliable and fast data processing is critical. Compact and Robust Design Built for durability, the reComputer R1024-10 comes in a compact form factor, suitable for harsh industrial settings. It delivers a scalable solution for industrial IoT projects, offering a ready-to-use platform to simplify integration and development. Application Raspberry Pi CM4-Powered Intelligent Supermarket System Pose-based Light Control System with Node-Red & Raspberry Pi AI Kit MING Stack for Seamless IIoT Data Management FIN Framework for Smart Building Management

reComputer R1035-10 – IoT Gateway & Controller, Raspberry Pi CM4-Powered, AI Capable | 8GB RAM, 32GB eMMC - Seeed Studio The reComputer R1035-10 is a high-performance IoT gateway and controller built for industrial applications. Powered by the Raspberry Pi Compute Module 4 (CM4), it features 8GB RAM and 32GB eMMC storage, delivering reliable performance for demanding edge computing tasks. This device supports multiple industrial communication protocols like RS485, Modbus, and BACnet, making it perfect for building automation, smart energy management, and intelligent industrial control solutions. Features Hardware Overview Application Raspberry Pi CM4-Powered Intelligent Supermarket System Pose-based Light Control System with Node-Red & Raspberry Pi AI Kit MING Stack for Seamless IIoT Data Management FIN Framework for Smart Building Management

Red BO Motor Wheel - Set of 2 | Robotics Science Project These are the Red BO Motor Wheels, which are is easy to mount, durable and cheap. These wheels have a hole that accommodates the BO shaft, making it very easy to mount. These motor wheels are compatible with a BO motor with a slotted shaft. Applications: Used for robots Used for robotic vehicle