Waveshare NVIDIA Jetson Nano Development Kit (Alternative of B01 Kit)

ACEBOTT QD028 ESP32 2-in-1 Football & Battle Car Robotics Kit ACEBOTT QD028 2-in-1 Football & Battle Car Kit is a unique and exciting programmable robotics kit built around the powerful ESP32 controller. Designed for hands-on learning and creativity, this kit lets users build and customize a dual-mode robot that switches seamlessly between football player and battle car modes. With modular expandability and intuitive programming support, the QD028 is perfect for STEM classrooms, home learning experiences, activities, and friendly competitions. Features 2-in-1 Dual Gameplay Modes – Switch instantly between Football Mode and Battle Car Mode for endless fun and creativity. Powered by ESP32 Controller – Supports Wi-Fi and Bluetooth, enabling smart control, coding, and expandable IoT possibilities. Modular Assembly Design – Easy-to-build, kid-friendly components that encourage hands-on learning and fast reconfiguration. STEM-Focused Learning – Teaches robotics, electronics, coding, and problem-solving, perfect for classrooms and home education. Programmable with Multiple Platforms – Supports Arduino IDE and ACECode (Scratch-style coding) for all learning levels. Durable, Competition-Ready Build – Designed for activities, challenges, and competitions with stable control and smooth movement.

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:

ACEBOTT QE201 Wooden Board for ESP32 Basic Starter Kit (Expansion Pack) The ACEBOTT QE201 Wooden Board for ESP32 Basic Starter Kit (Expansion Pack) is a practical learning expansion designed to enhance the core ESP32 starter kit with real-world, hands-on projects. Built with wooden structural assembly support, this expansion enables users to create 37+ interactive projects such as a Smart Butterfly, Electronic Piano, Smart Watermelon Fan, Smart Barrier, and Smart Trash Can. It is fully compatible with Arduino and Blockly programming, making it ideal for beginners who want to learn electronics, coding, and automation in a simple and humanized way. The main core function of this expansion pack is to transform basic electronic concepts into physical smart models, helping users understand how embedded systems work through engaging and easy-to-build projects. Features: Supports 37+ practical expansion projects for ESP32 learning Designed for wooden structural assembly to build physical smart models Compatible with ACEBOTT QE201 ESP32 Basic Starter Kit Works with both Arduino and Blockly programming platforms Includes smart applications like Smart Butterfly, Electronic Piano, Smart Fan, Smart Barrier, Smart Trash Can Beginner-friendly design for easy assembly and understanding Humanized learning approach for interactive STEM education Suitable for students, hobbyists, and training institutes

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

ACEBOTT QD108 FootBall Arena Kit For TinkerBott V1.1 The ACEBOTT QD108 Football Arena Kit for TinkerBott V1.1 is an engaging and interactive robotics playground designed to bring fun, competition, and learning together. Specifically created for the TinkerBott V1.1 platform, this football arena set lets users build, program, and control robots to play dynamic football matches. With modular components and easy assembly, the QD108 kit enhances STEM learning, encourages teamwork, and provides a hands-on way to explore robot movement, strategy, and coding in action. Features Football Arena Setup – Includes all parts needed to build a complete robotic football arena for exciting match play. Modular Design – Easy to assemble and reconfigure, perfect for classrooms, competitions, and home activities. Enhances STEM Learning – Combines robotics, coding, and team strategy for an educational play experience. Designed for TinkerBott V1.1 – Seamlessly integrates with the TinkerBott robot platform for smooth performance. Encourages Creativity & Fun – Lets users develop game tactics, program robot behaviors, and compete in challenges. Perfect for Group Activities – Ideal for clubs, classes, and family projects where teamwork and robotics meet.

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

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

Waveshare UGV Rover ROS 2 Open-source 6 Wheels 4WD AI Robot With Jetson Orin Nano 4GB Kit, Dual controllers, 360° Flexible Omnidirectional Pan-Tilt Waveshare UGV Rover ROS 2 Open-Source 6-Wheel 4WD AI Robot is a powerful mobile robotics platform designed for Jetson Orin series boards. Built for advanced AI, perception, and autonomous navigation tasks, it features a rugged 6-wheel 4WD design, dual controllers, and a 360° flexible omnidirectional pan-tilt system for full-range vision. Ideal for research, prototyping, and robotics development, this UGV offers seamless ROS 2 integration and high performance for real-world robotic applications Features Supports Pan-Tilt drag-and-drop control via mouse or touch panel of the laptop, providing a better control experience as FPS games Powered by Jetson Orin series computer Supports Jetson Orin Nano 4GB Kit, provides up to 20 TOPS AI Performance. High-speed reading/writing, to meet the development needs of large AI projects 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. Dimensions

Holybro S500 V2 DIY Drone Kit (Included Motor, Prop and ESC) The Holybro S500 V2 DIY Drone Kit (Included Motor, Prop and ESC) is a complete DIY drone kit designed for builders and enthusiasts who want a reliable, high-performance UAV platform right out of the box. This all-in-one kit includes quality motors, propellers, Electronic Speed Controllers (ESCs), and a durable S500 V2 frame, giving you everything you need to assemble a capable multirotor drone with confidence. Whether you're a hobbyist looking to build your first drone or a professional seeking a customizable platform for experimentation and upgrades, this kit provides a solid foundation. Engineered for ease of assembly and dependable flight performance, the Holybro S500 V2 DIY Drone Kit combines balanced thrust, stable handling, and efficient power delivery for smooth flight characteristics. Its thoughtfully selected components ensure compatibility and optimized performance, making the build process straightforward while offering room for future enhancements. From casual flying to aerial photography and DIY experimentation, this kit empowers you to bring your custom drone ideas to life with quality and precision. Features: Complete DIY drone kit including frame, motors, propellers, and ESCs for easy assembly. Durable S500 V2 frame designed for stable and reliable multirotor performance. Balanced propulsion system delivers smooth thrust and efficient flight. Supports customization and upgrades with compatible flight controllers and accessories. Suitable for beginners learning drone assembly as well as advanced UAV projects. Ideal for DIY builds, aerial experimentation, and educational drone applications.

DFRobot Gravity 7/24 Industrial Analog pH Sensor Meter Kit for Arduino The DFRobot Gravity 7/24 Industrial Analog pH Sensor Meter Kit for Arduino is a high-precision Analog pH Sensor designed for professional and industrial applications requiring continuous pH monitoring. This Arduino pH Sensor uses an industrial-grade glass membrane electrode with low impedance, delivering fast response, excellent thermal stability, and stable performance over long periods. It supports a full measurement range of 0 pH to 14 pH with linear voltage output, ensuring accurate and reliable readings. The sensor integrates easily through a BNC connector and PH2.0 interface, allowing direct connection to any Arduino analog input. Its reference system, based on Ag/AgCl gel electrolyte with a PTFE membrane, provides strong anti-pollution characteristics and prevents clogging, making it an ideal industrial pH sensor for Arduino for water treatment systems, environmental monitoring, and laboratory analysis. Attention: The probe's bottle top contains protective fluids (3.3mol/L KCL). Even if the bottle cap is tightly fastened, some protective liquid may leak around it, resulting in white crystals. However, as long as the bottle top contains protective liquid, the probe's life and accuracy will be unaffected. Please use it with confidence. It is recommended that the white crystals be returned to the bottle cap's protective liquid. Features Industrial-grade Analog pH Sensor for accurate measurement Compatible with Arduino and other microcontrollers Measures pH range from 0 to 14 Fast response with high stability BNC connector for secure sensor connection Plug-and-play PH2.0 analog interface Built-in power indicator LED Suitable for long-term online monitoring Low maintenance and long sensor life Ideal for water quality and lab applications Applications Water Quality Surveillance Aquaculture

reComputer J401 – Carrier Board for Jetson Orin Nano & Orin NX 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: Applications Gallery – Sample Edge AI Setups AI Video Analytics Rig : Orin NX + J401 + CSI camera + NVMe SSD for real-time video inference and storage. Autonomous Mobile Robot (AMR) : Combine wheel motors (via MCU or controller board), sensors, camera feed, and edge-AI inference on Orin for navigation, obstacle detection, and decision-making. Industrial Automation & Monitoring : Use Gigabit Ethernet, CAN port, multiple sensors, and AI inference to monitor machines, detect anomalies or control actuators. Generative AI / Edge ML Server : Use Orin NX with SSD and cooling via J401 to run heavy ML workloads locally ideal for edge-AI deployments without cloud dependency. Computer Vision + Robotics Laboratory Setup : Multiple cameras via dual CSI, USB 3.2 devices, external sensors build a flexible AI-powered research or prototyping station.

Seeed Studio A603 Carrier Board for Jetson Orin™ NX/Orin™ Nano The Seeed Studio A603 Carrier Board for Jetson Orin™ NX/Orin™ Nano is a powerful and versatile extension board designed to maximize the performance of NVIDIA’s Jetson modules. Equipped with a GbE port, M.2 Key M for SSD storage, and M.2 Key E for WiFi/Bluetooth connectivity, it ensures seamless integration for data-intensive applications. With MIPI CSI and HDMI support, the carrier board enables high-quality video capture and display, making it ideal for AI vision projects. It also includes 4x USB ports, a built-in cooling fan, and RTC functionality, all powered by a flexible 9–20V input. Its compact and space-saving design allows easy integration into a wide range of edge computing and embedded AI solutions. Features: Compatible with Jetson Orin™ NX/Orin™ Nano modules High-speed Gigabit Ethernet (GbE) port M.2 Key M slot for SSD storage expansion M.2 Key E slot for WiFi/Bluetooth modules MIPI CSI and HDMI interfaces for video input/output 4x USB ports for peripheral connectivity Built-in cooling fan and RTC support Wide 9–20V DC power supply input Compact design for easy integration in edge computing Applications: Autonomous Mobile Robot (AMR) AI Video Analytics Machine Vision Generative AI Hardware Overview:

Seeed Studio XIAO nRF52840 Module & Wio-SX1262 Kit for Meshtastic The Seeed Studio XIAO nRF52840 Module & Wio-SX1262 Kit is a powerful combination designed for modern IoT and wireless networking projects. Featuring the nRF52840 module and SX1262 transceiver, it supports BLE 5.0 and LoRa (862-930MHz) for reliable, long-range communication with low power consumption. This versatile kit is perfect for applications such as Meshtastic, environmental monitoring, sensor networks, asset tracking, and educational or innovative experiments. It's compact design and robust features make it an ideal solution for developers, makers, and students exploring connected device projects. Features: Versatile Microcontroller: Incorporate the Nordic nRF52840 chip with FPU, working up to 64 MHz, mounted several development ports, supported by Arduino, CircuitPython, and Micropython. Long-range: LoRa on the Semtech SX1262 supports the 868/915 MHz bands, providing powerful performance. Dual-core communication: It supports Bluetooth and LoRa dual modes, allowing for cross-domain interconnection. The integrated antenna is 8mm × 22mm × 23mm. Applications: Meshtastic Node&Router: An extremely compact node that may be used as a portable device or a stationary router to expand the Meshtastic network. LoRa/LoRaWAN Sensor: A little LoRaWAN sensor, excellent for those new to LoRa/LoRaWAN. When paired with a GPS module (such as the XIAO L76K), it can be used to track the movement of logistical vehicles, livestock, and important equipment. LoRa's long-distance coverage (2-5 km in urban areas and more than 10 km in suburban areas) can help to lower the cost of base station placement. Hardware Overview of XIAO nRF52840 Module: Pinout Diagram: Hardware Overview of Wio-SX1262: Pinout Diagram:

Official Arduino Portenta Proto Kit VE for Advanced Prototyping The Official Arduino Portenta Proto Kit VE (Vision Environment) is a comprehensive development solution tailored for creating functional prototypes that leverage machine vision and environmental monitoring. Designed with a suite of integrated Arduino Pro components, this Stem kit empowers developers to rapidly build and test advanced applications such as object recognition, people counting, air quality monitoring, and industrial automation. Its robust sensing capabilities and built-in connectivity, enabled by the Arduino Pro 4G Module, ensure seamless data processing and cloud integration. Ideal for innovators and professionals, the Portenta Proto Kit VE bridges the gap between concept and commercialization by streamlining the path from prototype to final product. Applications: Predictive maintenance with Nicla sensors and cloud algorithms to minimize downtime Intruder detection using face recognition, motion sensing, and real-time alerts Environmental monitoring of air quality, noise, and other parameters Machine vision for object recognition, motion detection, and people counting Logistics tracking with environmental sensing and cloud-based location data EV charging station prototype with remote management and analytics High-speed test rigs for sensor calibration, load testing, and real-time analysis Features: Portenta H7: High-performance dual-core microcontroller ideal for advanced data processing and edge machine learning applications. Portenta Mid Carrier: Enhances expandability and connectivity, providing professional-grade interfaces for robust prototyping setups. Nicla Vision: Ultra-compact color camera module with onboard AI capabilities, enabling real-time image processing at the edge. Nicla Sense Env: Low-power sensor board that monitors air quality, temperature, humidity, pressure, and more for indoor and outdoor environments. Modulino Nodes: Modular and compact units for rapid deployment of sensing and actuation tasks, ideal for quick iteration and development. 4G GNSS Module Global: Ensures global cellular connectivity and location tracking via GNSS, enabling remote and mobile applications. Arduino Cloud for Business Voucher: Includes a 3-month subscription for seamless cloud-based data storage, visualization, and remote device management. All Required Accessories Included: Comes complete with power supply, cables, and connectors, everything you need to start building right out of the box.

Official Raspberry Pi AI Kit Unlock the power of AI with the Official Raspberry Pi AI Kit. This kit includes the Raspberry Pi M.2 HAT+ and the powerful Hailo AI acceleration module, which is specifically designed for the Raspberry Pi 5. The Hailo-8L processor can do 13 tera-operations per second, which makes it ideal for complicated AI applications. The module connects easily to the Raspberry Pi 5 through the M.2 HAT+, linking the AI module’s M.2 interface with the Raspberry Pi 5’s PCIe 2.0 interface. With the latest Raspberry Pi OS, the system automatically detects the Hailo module, making the Neural Processing Unit (NPU) ready for AI tasks. The built-in camera apps in Raspberry Pi OS also support the AI module, streamlining AI-powered projects. This Raspberry Pi 5 expansion board is mainly used for a variety of purposes, such as advanced robotics, unique home projects, deep learning artificial intelligence, and instructional support. So, It's time to transform your Raspberry Pi 5 into an effective AI workstation. Get into the fascinating field of artificial intelligence by ordering the Raspberry Pi AI Kit for Pi 5. Discover the Best Raspberry Pi Boards ! Key Features: Capable of 13 TOPS for effective neural network inference. Fully integrated into the Raspberry Pi's camera software stack for convenient use. The pre-fitted thermal pad distributes heat across components, enhancing overall performance. Conforms to the Raspberry Pi HAT+ standard for dependable operation. Comes with a 16mm stacking header, spacers, and screws for simple installation. Temperatures may range from 0? to 50?, making it suitable for a variety of applications. Best Raspberry Pi 5 HAT for advanced projects Why Choose Raspberry Pi AI Kit? Affordable Edge AI Solution: Delivers powerful AI performance at a low cost, ideal for developers and hobbyists. Powered by Hailo-8L Accelerator: Offers up to 13 TOPS for efficient object detection and pose estimation. Seamless Integration with Raspberry Pi 5: Designed for M.2 HAT+ interface, ensuring stable hardware and software compatibility. Local AI Processing: Enables on-device inference without cloud dependency—faster, private, and energy-efficient. Optimized for Vision Projects: Perfect for tasks like image recognition, tracking, and robotics. Scalable Performance: Supports upgrade to Hailo-8 (26 TOPS) for advanced AI workloads. Great for Learning & Prototyping: Easy setup for educators, students, and makers exploring AI development. Raspberry Pi AI Kit M.2 HAT+ vs AI HAT+ Feature Raspberry Pi AI Kit M.2 HAT+ Raspberry Pi AI HAT+ (13 TOPS) AI Accelerator Hailo-8L (13 TOPS) Hailo-8L (13 TOPS) Interface M.2 HAT+ (PCIe connection) Standard HAT+ (direct GPIO / PCIe bridge) Compatibility Designed for Raspberry Pi 5 (uses M.2 slot) Works with Raspberry Pi 5 via standard HAT+ connector Performance ~13 TOPS at 9–10 W ~13 TOPS at 9–10 W Cooling Requirement Requires active cooling (heat dissipation via metal plate) Passive cooling sufficient for light workloads Installation Type Mounted under the Pi using the M.2 slot Stacks directly on top of Raspberry Pi 5 Form Factor Compact and flat design (ideal for embedded systems) Slightly taller profile due to stacking header GPIO Access Limited (requires extended stacking header) Easier access to GPIO pins Upgrade Option Supports Hailo-8 (26 TOPS) upgrade Fixed Hailo-8L (13 TOPS) only Best For Performance-focused AI projects, compact builds, industrial use Educational setups, DIY AI learning, and experimentation Power Source Powered via M.2 interface Powered via Raspberry Pi board directly Example Projects with Raspberry Pi AI Kit Smart Security Camera with Object Detection Facial Recognition Door Lock AI-Powered Traffic Monitoring System Gesture-Controlled Robot Real-Time Emotion Detection System Retail Analytics Counter Industrial Defect Detection Smart Waste Sorting Machine Wildlife Monitoring Station Personal AI Assistant Device