reComputer AI R2140-12 - Edge AI Computer 16GB RAM 26 TOPS Based on Raspberry Pi 5 - Seeed Studio

Official Raspberry Pi 4 Model B 4GB RAM The Raspberry Pi 4 Model B 4GB is a compact and versatile single-board computer that provides desktop-level performance in a credit card-sized device. The RPI 4B is powered by a Broadcom Quad-Core Cortex-A72 (ARM v8) 64-bit SoC that runs at 1.5GHz and has 4GB of LPDDR4-3200 SDRAM for efficient multitasking and basic desktop programs. This device is designed for a wide range of DIY projects, including media centres, file servers, robotics, and smart home systems. The Raspberry Pi 4B 4GB supports dual 4K displays ( 4K@30Hz ) through its micro-HDMI ports, making it perfect for high-definition video and creative endeavours. It has dual-band WiFi 2.4 GHz and 5.0 GHz IEEE 802.11ac , Bluetooth 5.0 , and Gigabit Ethernet for a consistent connection. It also features two USB 3.0 connections and two USB 2.0 ports to connect devices. The Raspberry Pi 4 4GB is popular among programmers and makers. It comes with native Python support , making it a fantastic platform for coding education and automation project development. It is capable of running both 32-bit and 64-bit operating systems , offering versatility for different uses. Whether for teaching, prototyping, or creative projects, it serves as a potent and affordable computing option. Shop Raspberry Pi 4 4GB Full Kit – Plug & Play Setup Affordable power for your projects – Raspberry Pi 4 2GB ! What makes this model Great? The speed and performance of the new Raspberry Pi 4 4GB are a noticeable improvement from earlier models. For the first time, the Raspberry Pi Foundation has created a complete desktop experience. Whether you're editing documents, browsing the web with multiple tabs open, managing spreadsheets, or creating a presentation, you'll find the experience smooth and familiar. It is a more energy-efficient and cost-effective machine. Features Broadcom 2711 Quad-Core Cortex A72 @ 1.5GHz delivers 20% faster performance with improved power and thermal efficiency. Dual micro-HDMI outputs support dual 4K displays with hardware video decode at 4Kp60 (H.265, H.264, MPEG-4). Dual-band WiFi (802.11b/g/n/ac) on 2.4GHz & 5GHz with advanced PCB antenna for robust wireless connectivity. Bluetooth 5.0 offers an extended range of wireless peripherals. Upgraded USB 3.0 Ethernet provides wired speeds up to 10x faster than previous models. 2 USB 3.0 and 2 USB 2.0 ports enable versatile peripheral connections. 40-pin GPIO header is fully backwards-compatible with earlier Pi models. Optional PoE support is available, with PoE header pins designed to work with proper standoffs. Comparison Table Raspberry Pi 4 Model B Raspberry Pi 5 Raspberry Pi 3 Model B+ Price (INR) ?3599 VIEW ?5129 VIEW ?3649 VIEW Processor 1.5GHz Quad-Core ARM Cortex-A72 2.4GHz Quad-Core ARM Cortex-A76 1.4GHz Quad-Core ARM Cortex-A53 RAM 1GB, 2GB, 4GB, 8GB LPDDR4 2GB, 4GB, 8GB, 16GB LPDDR4 1GB LPDDR2 Wi-Fi Dual-band 802.11ac Dual-band 802.11ac Dual-band 802.11ac Bluetooth 5.0 5.0 4.2 USB Ports 2× USB 3.0, 2× USB 2.0 2× USB 3.0, 1× USB 2.0 4× USB 2.0 Ethernet Gigabit Ethernet Gigabit Ethernet Gigabit Ethernet Video Output 2× Micro HDMI (4Kp60) 2× Micro HDMI (4Kp60) 1× HDMI (1080p) GPIO Pins 40 40 40 Storage MicroSD (SDXC up to 2TB) MicroSD (SDXC up to 2TB) MicroSD (SDHC) Power Supply USB-C USB-C Micro USB Click for Complete Raspberry Pi Kits – Learn, Build, and Innovate! Pin Diagram:

reComputer J3010 Edge AI Computer with NVIDIA Jetson Orin Nano 4GB Brains of a genius, size of a sandwich - The reComputer J3010 Edge AI Computer by Seeed Studio is a high-performance and compact solution designed for AI applications at the edge. Powered by the NVIDIA Jetson Orin Nano 4GB SoM, it delivers robust processing capabilities optimized for machine learning and AI workloads. The device comes pre-installed with Jetpack 5.1.1 (Super Mode JP6.2), enabling advanced AI features and superior performance. It includes a 128GB SSD for ample storage, along with versatile connectivity options such as 4x USB 3.2 ports, HDMI output, and Gigabit Ethernet. The carrier board expands flexibility with M.2 Key E for WiFi, M.2 Key M for additional SSD storage, RTC, CAN interface, and a 40-pin GPIO header. As a dedicated Edge AI computer, the reComputer J3010 is ideal for industrial automation, robotics, smart vision, and other AI-driven applications where compactness and performance are critical. (Power adapter not included). Related Searches - Orin Nano Accesories 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 J3010 supports 11x1080p30 streaming. See our tested YOLOv8 performance utilizing NVIDIA Deepstream for single and multi-model multi-stream scenarios. 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, Included in the Full System - reComputer J3010 Desktop, Wall Mount, Expandable, or Fit in Anywhere User Projects Made With the J3010 Smart Security Camera that detects people and tracks movement using simple CV models. Line-Following or Obstacle-Avoiding Robot for classrooms, workshops, and hobby builds. AI Face Recognition System for attendance, home automation triggers, or DIY access control. Which Jetson Is Right for You? Jetson Module AI Performance (TOPS) CUDA Cores Best For Ideal User Jetson Nano ~0.5 TOPS 128 Basic AI tasks, simple robotics, learning projects Students, hobbyists, first-time AI builders Jetson Orin Nano (4GB) Up to 20 TOPS 512 Entry-level edge AI, vision projects, DIY automation Makers and beginners upgrading from Nano Jetson Orin Nano (8GB) Up to 40 TOPS 1024 Real-time vision, robotics, AI robotics kits, compact automation Developers building smarter robots and edge AI systems Jetson Orin NX Up to 100 TOPS 1024 Heavy AI workloads, multi-model pipelines, advanced robotics Professionals needing workstation-level edge performance Jetson Orin Nano – J3010 Variant Up to 20 TOPS 1024 Efficient edge AI computing, robotics, smart cameras Users who want high performance in a small, power-efficient system Applications: AI Video Analytics Machine Vision Autonomous Mobile Robot (AMR) Generative AI

Jetson Orin Nano 8GB RAM New Generation Embedded Smart T201S AI Edge Computer The Jetson Orin Nano 8GB RAM New Generation Embedded Smart T201S AI Edge Computer is an advanced AI edge computing platform designed for developers, engineers, makers, and innovators working on intelligent systems. Built around the powerful NVIDIA Jetson Orin Nano module, this embedded AI computer delivers strong performance for real-time machine learning, computer vision, autonomous robotics, and smart IoT applications. It provides a ready-to-use hardware foundation that simplifies development and testing, helping you accelerate your projects from prototype to deployment. This AI edge computer is ideal for use in robotics, automated systems, smart surveillance, and industrial IoT where on-device inferencing and low-latency processing are critical. It supports popular AI frameworks like TensorFlow, PyTorch, and NVIDIA JetPack SDK, giving you flexibility to run neural networks efficiently at the edge without relying on cloud resources. Whether you are building smart machines, AI-powered sensors, or embedded vision systems, the T201S offers reliable performance and broad ecosystem support to bring your AI ideas to life. Features: Built around the NVIDIA Jetson Orin Nano module for powerful edge AI performance Provides real-time AI processing for computer vision, robotics, and automation Supports popular AI frameworks like TensorFlow, PyTorch, and NVIDIA JetPack SDK Multiple I/O interfaces for cameras, sensors, displays, and peripherals Ideal for smart IoT devices, autonomous systems, and embedded AI applications Compact and energy-efficient design for both prototyping and deployment

NVIDIA Jetson Orin NX 8GB RAM 70 TOPS AI Embedded Module T801 AI Developer Kit The NVIDIA Jetson Orin NX 8GB RAM 70 TOPS AI Embedded Module T801 AI Developer Kit is a compact yet powerful edge AI platform built for developers and innovators who need serious computing performance in a small footprint. Equipped with 8GB RAM and delivering up to 70 TOPS of AI performance, this module enables real-time machine learning, computer vision, and autonomous processing directly on the device—without depending on cloud connectivity. It is perfectly suited for robotics, smart surveillance systems, industrial automation, and advanced IoT solutions. With full support for popular AI frameworks like TensorFlow and PyTorch, along with NVIDIA’s JetPack SDK, the kit streamlines development, testing, and deployment of intelligent systems. Whether you are prototyping an AI concept or building a production-ready solution, this developer kit offers the performance, flexibility, and reliability required for next-generation embedded AI applications. Hardware Overview: Applications: 1. Practical Application in Security Monitoring Scenarios 2. Practical Application in Smart Gas Station 3. Practical Application in Smart Petroleum Providing simultaneous assistance for channel video analysis. Provide support for smoke, fire, personnel area monitoring, fall detection, safety helmet recognition, tools, gauges, oil level, and valve direction. 4. Practical Application | Identification of Unidentified Objects in Power Transmission Providing simultaneous support for four-channel video analysis Unidentified object recognition, fireworks, and engineering vehicles. Subsequent additions, aberrant insulators, pins, bird spikes, Features: Built on NVIDIA Jetson Orin NX architecture 8GB RAM for smooth AI model execution Up to 70 TOPS AI performance for real-time inference Optimized for edge AI and embedded systems Supports TensorFlow, PyTorch & NVIDIA JetPack SDK Low power consumption with high computational efficiency Ideal for robotics, smart vision, and industrial automation applications

Official Raspberry Pi 45W USB-C Power Adapter The Official Raspberry Pi 45W USB-C Power Adapter is the ultimate raspberry pi power supply for ensuring stable and efficient performance of your Raspberry Pi 5 and other USB-C compatible devices. Featuring USB Power Delivery (PD) support, it intelligently negotiates voltage and current levels, allowing the Raspberry Pi to power high-demand accessories like SSDs without compromise. With five built-in PD profiles ranging from 5.1V to 20V, this raspberry pi power adapter also doubles as a versatile charging solution for laptops, tablets, and smartphones.The included 1.5m 17AWG USB-C power adapter cable ensures optimal power transfer with minimal loss. Designed with precision and reliability in mind, it’s a must-have for makers, developers, and tech enthusiasts seeking dependable performance in their Raspberry Pi setups. Features 45W Output Power - Delivers dependable, high-power output for the Raspberry Pi 5 and other USB-C devices. Supports USB PD (Power Delivery) : automatically adjusts output based on device requirements. Optimised for Raspberry Pi 5 - Provides consistent 5V/5A power to ensure full performance. Multiple Voltage Profiles - Supports 5V, 9V, 12V, and 15V output for increased compatibility. High-Quality Build - An official Raspberry Pi product built for safety and efficiency Integrated USB-C connector - Plug and play with contemporary Raspberry Pi boards and accessories. Reliable and Safe : Built-in protection against overvoltage, overcurrent, and short circuits. The universal input voltage (100-240V AC) makes it appropriate for worldwide use.

Maker pHAT for Raspberry Pi – Headless Setup, GPIO Debugging & Built-In I/O The Maker pHAT for Raspberry Pi is designed to make electronics, coding, and headless setup dramatically easier for beginners, educators, and STEM learners. With built-in USB-to-UART, onboard LEDs, push buttons, and an active buzzer, this Raspberry Pi HAT simplifies GPIO debugging, troubleshooting, and prototyping. It eliminates the need for extra components, messy wiring, or a monitor-keyboard setup - making it perfect for classrooms, DIY projects, and Raspberry Pi learning environments. Maker pHAT fits perfectly on Raspberry Pi Zero and works seamlessly with Raspberry Pi 3B/3B+/4B models using the included stacking header. It provides labeled GPIO pins for easy connection, LED indicators for real-time feedback, and push-button support for proper system shutdown. Whether you are exploring electronics, teaching students, or building quick prototypes, Maker pHAT delivers a smoother, faster, and frustration-free Raspberry Pi learning experience. Features: Designed in Raspberry Pi Zero size, stacking perfectly on Pi Zero / Zero W / Zero WH and fully compatible with Raspberry Pi 3B/3B+/3A+/4B series. Supports headless setup easily via onboard USB-to-UART (Rev1.10 uses FT231X), removing the need for monitor, keyboard, or mouse. Equipped with LED indicators for key GPIO pins (GPIO 17, 18, 27, 22, 25, 12, 13, 19) to simplify GPIO learning and debugging. Features 3 programmable push buttons (GPIO 21, 19, 20) for input learning and safe shutdown functionality. Includes active buzzer on GPIO 26 for audio output in projects and coding exercises. Comes with clearly labeled GPIO footprint, including SPI, UART, I2C, 5V, 3.3V & GND for easier wiring and prototyping. Powered via USB Micro-B 5V input from laptop, USB adapter, or power bank. Built using a Purple PCB, making it visually attractive for classroom and DIY setups.

Official Raspberry Pi 5 Model B 1GB RAM The Official Raspberry Pi 5 Model B with 1GB RAM represents a major leap forward in single-board computing performance. Powered by a 2.4GHz 64-bit quad-core Arm Cortex-A76 processor, it delivers up to 2–3× the CPU performance of the previous generation, making multitasking, programming, media handling, and edge computing smoother than ever. With an 800MHz VideoCore VII GPU, the Pi 5 offers significantly improved graphics capabilities and supports dual 4Kp60 display output for high-resolution applications. The redesigned Image Signal Processor enhances camera performance, making it suitable for AI vision projects, surveillance systems, and advanced imaging solutions. Whether you're building a smart device, automation system, media center, or industrial controller, this latest generation Raspberry Pi 5 provides a seamless and powerful desktop-class experience in a compact form factor. Features: Processor: Quad-Core 64-bit Arm Cortex-A76 @ 2.4GHz RAM: 1GB LPDDR4X GPU: VideoCore VII @ 800MHz Display Support: Dual micro-HDMI, up to 4Kp60 each Core Function: High-performance single-board computer for embedded systems, IoT, automation, AI edge computing, and desktop applications Performance Boost: 2–3× faster CPU than Raspberry Pi 4 Camera Support: Improved ISP for advanced image processing

SmartElex 10D DC Motor Driver HAT for Raspberry Pi | PWM Driver HAT with PWM Speed Control The SmartElex 10D DC Motor Driver HAT is a compact and reliable expansion board designed specifically for Raspberry Pi to control DC motors with precise speed control. It helps users drive motors directly from the Raspberry Pi without complex wiring or external driver circuits, making motor control simpler and safer. This HAT is ideal for students, makers, educators, and engineers who are building robotics or motion-based projects and want a clean, plug-and-play solution. This motor driver HAT is widely used in robotics, automation systems, and prototyping projects where smooth and controlled motor operation is required. With PWM-based speed control and seamless Raspberry Pi compatibility, it allows easy integration into existing projects and code setups. The stable performance and straightforward design make it suitable for classroom learning, DIY robotics, and early-stage product development where reliable motor control is essential. Hardware Overview Features: Designed specifically as a motor driver HAT for Raspberry Pi PWM-based speed control for smooth motor operation Supports both single-signal and dual-signal motor control modes Simple plug-and-play installation on Raspberry Pi GPIO header Ideal for robotics, automation, and motion control projects Reliable performance suitable for education, prototyping, and DIY builds How to Use The SmartElex 10D DC Motor Driver HAT can be controlled in two different ways depending on your project requirements. Using Two Control Signals (Speed and Direction) In this mode, two separate control signals are used. The PWM signal is applied to the PWM pin to control the motor speed, while the DIR pin is used to control the motor direction. This method offers straightforward and precise control, making it ideal for most robotics and automation applications. Using One Control Signal (Combined Speed and Direction) In this mode, only one control signal is required. The PWM pin is connected to a logic high level, and the DIR pin receives the PWM signal. When the PWM duty cycle is 50%, the motor stops. If the duty cycle is below 50%, the motor rotates in one direction, and if it is above 50%, the motor rotates in the opposite direction. The actual rotation direction depends on the motor wiring

ACEBOTT QD107 AI Vision For TinkerBott Car V1.1 (Car Kit is Not Included) ACEBOTT QD107 AI Vision Module for TinkerBott Car V1.1 enhances your robot with smart image recognition, object tracking, and AI-powered interaction capabilities. Built around an ESP32 camera system, this upgrade allows students and makers to explore computer vision, machine learning, and intelligent robotics in a hands-on way. Whether used in STEM classrooms or home robotics projects, the QD107 adds exciting new functionality to the TinkerBott platform, making coding and learning more engaging and interactive. Features AI-powered vision module enables object detection, recognition, and tracking. Built-in ESP32 camera provides fast image processing and wireless communication. Plug-and-play upgrade designed specifically for TinkerBott Car V1.1. Supports multiple programming platforms, making it ideal for beginners and advanced learners. Enhances STEM learning with hands-on experience in computer vision and AI robotics. Lightweight and modular design allows easy installation without affecting robot mobility.

Cytron Maker Pi RP2040 – Robotics Controller Board with Raspberry Pi The Cytron Maker Pi RP2040 is a compact, beginner-friendly robotics controller board powered by the Raspberry Pi RP2040 microcontroller. Designed for DIY robotics, automation, and motion-control projects, this board integrates a dual-channel DC motor driver, four servo ports, and seven Grove connectors - giving makers everything they need to build robots without complex wiring. With compatibility across CircuitPython, MicroPython, C/C++, and even the Arduino ecosystem, this board ranks among the best RP2040 robotics controllers for students, hobbyists, and educators. Built for convenience, the Maker Pi RP2040 supports multiple power input options (USB, LiPo battery, or VIN), includes onboard functional test buttons, and features status LEDs for easy debugging. The preloaded demo code lets you start controlling motors, playing melodies, and testing GPIOs right out of the box. Whether you are exploring Raspberry Pi’s RP2040 ecosystem or building an advanced robot, the Cytron Maker Pi RP2040 robot controller offers exceptional versatility, ease of use, and reliable motor-driving performance. Features: Powered by the Raspberry Pi RP2040 dual-core Arm Cortex-M0+ processor. Includes dual-channel DC motor driver and four servo motor ports for robotics. Seven Grove ports support digital, analog, I2C, SPI, and UART expansion. Preloaded with CircuitPython for easy plug-and-play coding. Supports USB 5V, LiPo 1-cell battery, or 3.6–6V VIN input with automatic switching. Built-in LiPo charging circuit with safety protections. Onboard piezo buzzer, RGB LEDs, GPIO test LEDs, and push buttons. Quick-test buttons and motor output LEDs for immediate motor testing. Fully compatible with the Raspberry Pi Pico ecosystem, MicroPython, C/C++, and Arduino cores. Includes LEGO-compatible mounting holes and M3 mounting points. Board Layout: Dimension:

Raspberry Pi USB 3.0 128GB Flash Drive for Raspberry Pi Computers The Raspberry Pi USB 3.0 128GB Flash Drive is a compact and reliable storage solution designed specifically for Raspberry Pi computers. With a generous 128GB capacity, it provides ample space for operating systems, project files, software libraries, and backups. The USB 3.0 interface ensures fast data transfer speeds for quicker boot times and smooth performance, while remaining fully compatible with USB 2.0 ports. Built with a durable metal body, this lightweight flash drive is easy to carry and can be attached to a keyring or lanyard, making it perfect for students, developers, and makers who need portable, high-quality storage for their Raspberry Pi projects. Features: USB 3.0 High-Speed Performance – Delivers strong random and sequential I/O performance for faster read and write operations. Optimized for Raspberry Pi – Designed to work seamlessly with Raspberry Pi and other compatible devices. Compact & Portable Design – Sleek form factor makes it easy to carry and use anywhere. Reliable Power Efficiency – Moderate power consumption ensures stable operation. Power-Loss Resilience – Enhanced protection against unexpected power interruptions. Versatile Usage – Ideal for storing, transferring, and backing up data. Boot & OS Ready – Suitable for installing and running operating systems directly from the drive.

Waveshare UGV Rover ROS 2 Open-source 6 Wheels 4WD AI Robot Suitable for Raspberry Pi 4B / Raspberry Pi 5 Dual controllers, All-metal Body, Flexible and Expandable The UGV Rover ROS 2 Open-source 6-Wheel 4WD AI Robot is a robust, all-metal mobile robotics platform designed for versatile development and real-world navigation. Featuring dual controllers, a flexible and expandable chassis, and seamless ROS 2 integration, it delivers reliable performance for autonomous tasks and intelligent robotics projects. Compatible with Raspberry Pi 4B and Raspberry Pi 5, this rover is perfect for learners, innovators, and developers looking to build advanced AI robotics systems with powerful hardware and modular expandability. Features Supports Pan-Tilt drag-and-drop control via mouse or touch panel of the laptop, providing a better control experience as FPS games Based on Raspberry Pi Designed to support both Raspberry Pi 5 and Raspberry Pi 4B, this robot leverages the strong computing capabilities of the Pi ecosystem to handle more complex tasks with ease. Its expandable architecture unlocks more possibilities for AI, automation, and ROS 2 development. Advanced AI Recognition & Tracking Based on OpenCV, supports color recognition and automatic targeting with one-key Pan-Tilt control and auto LED lighting. Expandable for additional AI functions. Face Detection & Recognition Automatically captures photos or records videos when a face is detected, providing enhanced security and AI interaction. Cross-Platform Web Control No app installation required! Simply connect via a web browser on mobile, tablet, or PC. Supports WASD keyboard shortcuts and mouse control for seamless navigation. WebRTC real-time video transmission Adopts Flask lightweight web application, based on WebRTC ultra-low latency real-time transmission, using Python language and easy to extend, working seamlessly with OpenCV Features at a glance Multiple Autonomous Navigation Modes UGV Rover supports multiple autonomous navigation modes, allowing it to navigate complex environments with precision. Whether following predefined paths, avoiding obstacles, or performing AI-assisted route planning, the robot adapts intelligently to real-world terrains.

Official Raspberry Pi 500+ SC1237 – Premium Desktop PC (US Layout) The Official Raspberry Pi 500+ SC1237 – Premium Desktop PC (US Layout) is a powerful and human-centered computing solution that blends performance with simplicity. Built on the advanced architecture of the Raspberry Pi 5, this all-in-one desktop integrates a high-quality mechanical RGB keyboard with a US layout, making it perfect for long coding sessions and everyday productivity. With 16GB LPDDR4X RAM, it handles multitasking effortlessly, while the 256GB SSD preloaded with Raspberry Pi OS ensures fast boot times, responsive performance, and plenty of storage right out of the box. Designed for students, developers, and professionals alike, this premium Raspberry Pi desktop PC offers dual USB 3.0 ports, HDMI output, and a compact footprint—delivering a seamless computing experience for programming, media consumption, and creative projects in one sleek device. Features: Successor of Raspberry Pi 500 and 400 series Powered on the Raspberry Pi 5 platform 16GB LPDDR4X-4267 SDRAM allows for smooth multitasking. Preloaded 256GB SSD with the Raspberry Pi OS. Integrated mechanical RGB keyboard design. Dual USB 3.0 ports for fast connectivity. HDMI outputs for dual display support. A compact, all-in-one desktop solution

SmartElex Ai Thinker Ai M62 32S Development Kit The SmartElex AI Thinker Ai-M62-32S Development Kit is a powerful and versatile solution designed for modern wireless and IoT applications. Built around the BL616 RISC-V CPU, it delivers high performance with a maximum operating frequency of 320 MHz, making it suitable for real-time data processing and edge computing. This AI thinker modules platform supports Wi-Fi 6, BLE 5.3, and Thread protocol, ensuring fast, stable, and low-power connectivity. The Ai-M62-32S Development Kit features a wide range of interfaces including USB 2.0, SPI, UART, I2C, I2S, PWM, ADC, DAC, and GPIO, enabling seamless integration with sensors, displays, and peripherals. With built-in hardware security engines supporting AES, SHA, PKA, and TRNG, along with secure boot and encrypted firmware startup, it meets strict security requirements for IoT deployments. This makes the Ai-M62-32S Development Kit an excellent choice for smart home systems, wearable electronics, multimedia devices, and next-generation IoT solutions. Features: Supports the 2.4GHz operational frequency band. Support IEEE 802.11 B/G/N/AX. Support BLE 5.3. Wi-Fi Security Support WPS/WEP/WPA/WPA2/WPA3 Supports 20/40MHz bandwidth, 1T1R, maximum rate of 229.4 Mbps Supports STA, SoftAP, STA+SoftAP, and sniffer modes. A 32-bit RISC-V CPU with FPU and DSP has a maximum dominant frequency of 320M. 532KB SRAM, 128KB ROM, 4KB eFuse. Supports USB2.0, SDU, SD/MMC (SDH), SPI, UART, I2C, I2S, PWM, GPDAC, GPADC, ACOMP, and GPIO, among others.

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: