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 J4012B Edge AI Computer Powered by NVIDIA Jetson Orin NX 16GB 100 TOPS AI The reComputer J4012B Edge AI Computer, built on the NVIDIA Jetson Orin NX 16GB module, is engineered for high-performance AI at the edge, delivering up to 100 TOPS of AI compute for robotics, automation, vision systems, and industrial AI deployments. With a powerful 8-core Arm CPU, Ampere GPU with Tensor Cores, and 16GB LPDDR5 memory, this compact edge device is ideal for tasks such as real-time inference, multi-camera processing, deep learning, and edge analytics. The pre-installed JetPack 5.1.3 ensures a ready-to-deploy development environment with optimized CUDA, cuDNN, and TensorRT support. Designed for both prototyping and large-scale production, the reComputer J4012B includes a rich set of interfaces - USB 3.2, HDMI, Gigabit Ethernet, M.2 Key M for SSD, M.2 Key E for Wi-Fi, mini-PCIe for LTE, CAN bus, and 40-pin expansion header. With a durable aluminum case, active cooling, 128GB NVMe SSD, and certifications including CE, FCC, KC, ROHS, REACH, this device is ready for industrial, commercial, and AIoT applications. Guaranteed long-term availability until 2032, the J4012B is a future-proof platform for next-generation edge computing. Features: Powered by NVIDIA Jetson Orin NX 16GB, delivering up to 100 TOPS for advanced AI workloads. Features a 1024-core NVIDIA Ampere GPU with 16 Tensor Cores for accelerated deep learning and computer vision tasks. Built with a high-efficiency 8-core Arm Cortex-A78AE CPU for reliable real-time edge processing. Comes pre-installed with a 128GB NVMe SSD for fast storage and ready-to-deploy performance. Offers rich connectivity: 2× USB 3.2, HDMI, Gigabit Ethernet, M.2 Key M, M.2 Key E, mini-PCIe, CAN, 40-pin GPIO and more. Includes JetPack 5.1.3 preloaded for immediate development in Linux, CUDA, and AI frameworks. Robust aluminum enclosure with active cooling for stable 24/7 operation. Certified with CE, FCC, KC, UKCA, ROHS, REACH for industrial and commercial use. Long-term supply availability until 2032, ideal for scalable deployments. Applications: Smart Lamppost Systems Smart lampposts use integrated sensors to monitor traffic flow, pedestrian movement, and environmental conditions. The collected data helps city authorities optimize traffic control and improve public safety. Many smart lampposts also operate on solar energy, storing power for nighttime illumination and even feeding surplus electricity back into the grid to support sustainable urban infrastructure EV Battery Swapping & Charging Infrastructure Modern EV charging and battery-swapping stations connect directly to smart grid networks, enabling efficient load balancing and optimized charging schedules. This reduces strain on the grid during peak hours and ensures faster turnaround times for EV users. Advanced systems even allow certain electric vehicles to return power to the grid, contributing to a more resilient and flexible energy ecosystem. Smart Recycling & Waste Management Centers Smart recycling hubs utilize sensors embedded in collection bins to track fill levels, minimizing unnecessary collection trips and reducing operational costs. Energy-efficient sorting machines operate during off-peak hours, lowering power consumption. Recycled materials collected through these systems are often further utilized in manufacturing components for EVs, renewable energy setups, and other smart grid technologies, promoting a circular and sustainable industrial cycle. Hardware Overview:

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

Red bo motor wheel - set of 4, 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

Red BO Motor Wheel +100 RPM Single Shaft BO Motor - Set of 2 These are 100 RPM Single Shaft BO Motor with Red Wheel (2 sets), The BO Motor gives good torque and rpm at lower operating voltages, which is the biggest advantage of these motors. This BO motor is a Low-cost geared DC Motor. It is an alternative to our metal gear DC motors. It comes with an operating voltage of 3-12V and is perfect for building small and medium robots. The wheels are made up of high-quality rubber which gives maximum traction while operating. The wheels are strong , sturdy and can be coupled with BO motors using a small screw ( screw is not included). The motors are ideal for DIY enthusiasts. These BO motors are less cost, small, easy to install, and can be used in mobile robot car. If you want to use these Single Shaft 100 RPM BO Motors with Wheels in your DIY projects, for that you will need few essential components like batteries , switches , wires and soldering tools . check out : Single Shaft L-Shaped 60 RPM BO Motor with Wheel (2 sets) Applications: Smart Robot Cars DIY Train Obstacle Avoider robot 2wd Robot

Red BO Wheel + 100 RPM Single Shaft BO Motor - Set of 4 | Robotics Science Project These are 100 RPM Single Shaft BO Motor with Red Wheel (4 sets), The BO Motor gives good torque and rpm at lower operating voltages, which is the biggest advantage of these motors. This BO motor is a Low-cost geared DC Motor. It is an alternative to our metal gear DC motors. It comes with an operating voltage of 3-12V and is perfect for building small and medium robots. The wheels are made up of high-quality rubber which gives maximum traction while operating. The wheels are strong , sturdy and can be coupled with BO motors using a small screw ( screw is not included). The motors are ideal for DIY enthusiasts. These BO motors are less cost, small, easy to install, and can be used in mobile robot car. If you want to use these Single Shaft 100 RPM BO Motors with Wheels in your DIY projects, for that you will need few essential components like batteries , switches , wires and soldering tools . Applications: Smart Robot Cars DIY Train Obstacle Avoider robot 2wd Robot