Seeed Studio XIAO nRF52840 Module & Wio-SX1262 Kit for Meshtastic

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

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.

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

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

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.

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

Seeed Studio XIAO ESP32S3 Sense – Wi-Fi, BLE & AI Camera Board If you want a small but powerful development board, pick the Seeed Studio XIAO ESP32S3 Sense. It is ideal for IoT and embedded machine-learning projects. This seeed studio ESP32 board has a powerful Xtensa processor ESP32-S3R8 SoC that provides dependable 2.4GHz Wi-Fi and Bluetooth BLE 5.0. It has an OV3660 smart camera sensor board for crisp 1600*1200 quality photos and a built-in digital microphone for voice detection and audio recognition. You'll love the 8MB PSRAM and 8MB FLASH, plus an SD card slot for up to 32GB of extra storage. It supports battery charging, making it great for portable projects, and it’s versatile with its wide range of interfaces. The XIAO ESP32S3 Sense also offers pre-trained AI models and no-code deployment through SenseCraft AI. Despite its powerful features, it maintains the classic thumb-sized form factor of the XIAO family. This board is a fantastic choice for your next project! Features: Features a powerful ESP32S3 32-bit dual-core processor. It supports Arduino and MicroPython. Includes a detachable OV3660 camera for 1600*1200 resolution. Includes an integrated digital microphone. Measuring just 21 x 17.5mm. Has 8MB PSRAM, 8MB FLASH, and an SD card slot for up to 32GB of memory. Supports 2.4GHz Wi-Fi and BLE with a 100m+ range using a U.FL antenna. Provides pre-trained AI models from SenseCraft AI for no-code deployment. Camera & ML Demo: Sample Projects DIY Face Detection Camera : Use the XIAO ESP32S3 Sense built-in camera and on-board ML support to detect faces, capture snapshots, and send alerts over WiFi. Smart Door Entry Monitor : Combine the camera with a PIR sensor to capture entry events, log timestamps, and stream snapshots to a dashboard. Voice and Camera Surveillance : Use the digital microphone and camera together to detect sound and motion, then record short clips or trigger notifications. Object Classification Station : Run small image classification models on the S3 Sense to identify objects on a workbench or conveyor belt and log results to local storage or the cloud. Portable Field Camera Node : Deploy the board with battery power and SD storage to capture and store images in remote locations for later analysis. Comparison: C3 vs S3 Sense Feature XIAO ESP32-C3 XIAO ESP32S3 Sense Processor ESP32-C3 single core, up to 160 MHz ESP32-S3 dual core, up to 240 MHz Memory Lower flash and no PSRAM on most variants Includes PSRAM and larger flash, microSD support on some SKUs Camera No built-in camera Built-in OV camera module and digital microphone On-device ML Limited for tiny models Better suited for vision and audio ML tasks Ideal Use Cases Low power IoT nodes, BLE peripherals, simple sensors AI camera projects, voice and vision prototypes, edge ML demos Form Factor XIAO compact size XIAO compact size with camera and sensor additions Related Products & Modules XIAO Series Collection IoT Sensors Collection Tutorial : Build a DIY Face Detection Camera Use the XIAO ESP32S3 Sense, attach power and optional microSD card, flash a sample face detection sketch using Arduino or MicroPython, and configure WiFi to stream or upload detection events to your dashboard. For best results use lightweight models optimized for the S3 Sense and test in varied lighting conditions. Suggested steps: Prepare hardware: XIAO ESP32S3 Sense, power source, optional microSD, and a PIR sensor if needed. Install toolchain: Arduino IDE or MicroPython firmware and required libraries for camera and ML inference. Load sample code: run a face detection example, adjust model thresholds and frame size for performance. Configure output: save snapshots to microSD or push events to a dashboard via MQTT or HTTP. Test and tune: iterate on model size, resolution, and detection thresholds for reliable results. Application: Speech recognition Video monitoring Wearable devices Image processing Smart homes Low-power (LP) networking Rapid prototyping Health monitoring Education

NVIDIA Jetson Nano Development Kit (Alternative of B01 Kit) The NVIDIA Jetson Nano Development Kit is an advanced AI computing platform, designed as a powerful and flexible alternative to the Jetson Nano B01 Kit. Featuring compatibility with both Jetson Nano and Jetson Xavier NX core modules, this development kit maintains almost the same I/O interfaces, size, and thickness as the original Jetson Nano Developer Kit (B01), making it an ideal upgrade solution. With its robust computing power and versatile connectivity, it is suitable for a wide range of AI applications including image classification, object detection, segmentation, speech processing, and more. Whether you are working on edge AI projects or seeking a Jetson Nano Kit Alternative, this development kit empowers developers to harness the full potential of NVIDIA Jetson Nano Development Kit capabilities while offering seamless module upgrades. Features: Compatible with Jetson Nano Core Module and Jetson Xavier NX Core Module Designed as a Jetson Nano B01 Alternative with similar I/O ports, size, and form factor Easy upgrade path by swapping the core module for enhanced AI performance Supports advanced AI tasks like image classification, object detection, segmentation, and speech processing Provides powerful GPU-accelerated AI computing for edge AI and embedded applications Compact and efficient design for seamless integration into custom projects Ideal for developers looking for a Jetson Nano Kit Alternative with extended flexibility Fully utilizes the capabilities of the NVIDIA Jetson Nano Development Kit ecosystem

Seeed Studio XIAO RP2040 Development Board Supports Arduino, MicroPython, and CircuitPython The Seeed Studio XIAO RP2040 Development Board is a compact, powerful, and versatile development board based on the Raspberry Pi RP2040 chip. As the smallest Raspberry Pi Pico variant, it offers a thumb-sized surface-mount design, making it perfect for space-constrained projects. This development board supports multiple programming environments, including Arduino, MicroPython, and CircuitPython, providing great flexibility for developers, hobbyists, and educators. Its compatibility with various programming languages such as C, Python, Go, and Rust, combined with a wide selection of available libraries, makes the XIAO RP2040 an excellent cost-effective choice for beginners and professionals learning coding and electronics basics. Features: Perfect Toolkit for Learning Coding and Electronics XIAO RP2040 provides a comprehensive development ecosystem that makes coding easy for newcomers while also giving powerful tools for expert developers. Use the Arduino IDE for speedy prototyping, the C/C++ SDK for peak performance, MicroPython/CircuitPython for quick scripting, or Rust and Go for modern applications. With thorough documentation and an active Raspberry Pi community, you'll find plenty of examples and tools to help you get started on your projects. The board includes a 3-color User LED and an RGB LED, allowing you to add visual indications or beautiful light effects to improve functionality and creativity. Classic form factor and extensive Seeed Studio XIAO ecosystem. XIAO RP2040, released in 2021, features the typical XIAO small shape of 21 x 17.8mm. Its native compatibility with the extensive XIAO Add-on ecosystem, which includes expansion boards, sensors, and displays as well as connectivity modules and actuators (Grove Expansion, CAN-Bus, LoRa module, LED Matrix, Vision AI Sensor, Round Display, L76K GSP module, 2-Mic Array, ePaper Displays, mmWave sensor, AC relay, Bus Servo Driver, and many others), makes it suitable for any project, no matter how simple or complex. Production-Ready Design with FREE PCBA Support All Seeed Studio XIAO development boards include a production-optimized SMD (Surface Mount Device) design with standardized stamp holes, making them ideal for commercial PCBA integration. Through our Fusion PCBA Sponsorship program, you can not only get the lowest unit prices for all XIAO modules from our Fusion Open Parts Library, but you can also fabricate and scale your XIAO-based PCBA designs at a low cost (30% off) with FREE Design for Manufacturing consulting services, streamlining the process from prototype to production. Hardware Overview: Top Board Bottom Board Pinout Diagram of XIAO RP2040 Applications: Learning & Education - Arduino, MicroPython, CircuitPython, TinyGo, Rust, and embedded system fundamentals USB HID devices - Include custom keyboards, stream decks, arcade controllers, and MIDI interfaces. Wearable projects - Smart accessories, LED garments, wrist devices, and sensor wearables. IoT and sensors - Environmental monitoring, smart house panels, weather stations, and MQTT. Display projects - LED matrices, POV displays, and rotating LED spheres. Development - Rapid prototyping, hardware testing, and PCB validation. Robotics - Basic motor control, sensor integration, and automation. Audio/Video - Sound processing, media controls, and visualizations.

Seeeduino XIAO compatible with Arduino Seeeduino XIAO is the smallest Arduino compatible board in Seeeduino Family. It is an Arduino microcontroller that is embedded with the SAMD21 microchip. The interfaces of Seeeduino XIAO is rich enough in such a tiny Dev. Seeeduino XIAO is integrated with the powerful CPU-ARM® Cortex®-M0+(SAMD21G18) which is a low-power Arduino microcontroller. On the other hand, this little board has good performance in processing but needs less power. As a matter of fact, it is designed in a tiny size and can be used for Arduino wearable devices and small projects. Applications of Seeeduino XIAO: Wearable devices Rapid prototyping (directly attached to the expanded PCB as a minimal system) Perfect for all the projects need mini Arduino DIY keyboard USB development (USB to multi-channel TTL/USB host mode, etc.) A scenario where you need to read multiple mock values The Digital to Analog Converter output

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.

Seeed Studio Seeeduino XIAO SAMD21 Arduino Compatible Board The Seeeduino XIAO SAMD21 is a compact yet powerful Arduino-compatible board built on the Microchip SAMD21G18 MCU. As the flagship of the Seeeduino XIAO series, this tiny board delivers professional-grade performance in a minimalist, SMD-designed form factor, making it perfect for space-constrained projects. It offers seamless compatibility with Arduino IDE, MicroPython, and PlatformIO, allowing flexible development for a wide range of applications. With extensive tutorials and learning resources, the Seeeduino XIAO SAMD21 is an excellent choice for beginners and hobbyists eager to explore open-source electronics. Features: Ultra-compact Seeeduino XIAO design Powered by SAMD21G18 MCU Arduino IDE, MicroPython & PlatformIO compatible Thumb-sized SMD package for space-saving projects Beginner-friendly with tutorials and learning resources Applications: Learning and Education (Arduino, MicroPython, Basic electronics, and prototyping) Wearable devices include health monitoring, interactive apparel, and tiny fitness trackers. IoT and sensor projects include environmental monitoring, data collection devices, smart home sensors, and small automation systems. Space-Constrained Mini Arduino Projects Rapid prototyping (fast proof-of-concept constructions, hardware testing, product prototypes, embedded system development) HID devices (do-it-yourself keyboard, USB to multi-channel TTL/USB host mode, Seeeduino XIAO SAMD21 Pinout Diagram

Seeed Studio XIAO ESP32-C6 Development Board Supports Wi-Fi 6, BLE 5.0, Zigbee & Thread The Seeed Studio XIAO ESP32-C6 development board is a powerful yet compact solution for modern IoT and smart home projects. Built on Espressif’s ESP32-C6 MCU, it supports advanced wireless connectivity including Wi-Fi 6, Bluetooth 5.0, Zigbee, and Thread, making it highly versatile for Matter-compliant applications. With its thumb-sized footprint and single-sided mount design, the board is ideal for space-constrained projects while still delivering strong performance. Integrated chip-level encryption ensures secure operation, while seamless compatibility with popular IoT cloud platforms enables developers to bring products to market faster. This ESP32 development board is a reliable choice for innovators looking to create next-generation connected devices. Features: Enhanced Connectivity: Includes 2.4GHz Wi-Fi 6 (802.11ax), Bluetooth 5 (LE), and IEEE 802.15.4 radio connectivity, allowing you to use the Thread and Zigbee protocols. Matter Native: Supports constructing Matter-compliant smart home projects through better connection and interoperability. Security Encrypted on Chip: Powered by ESP32-C6, it delivers increased encrypted-on-chip security to your smart home projects through secure boot, encryption, and Trusted Execution Environment (TEE). Outstanding radiofrequency performance: Has an on-board antenna with up to 80m of BLE/Wi-Fi range, while reserving an interface for external UFL antenna. Power Consumption: Offers four working modes, including deep sleep mode at 15 μA, and supports lithium battery charge management. Dual RISC-V Processors: Includes two 32-bit RISC-V processors, the high-performance CPU running up to 160 MHz, and the low-power processor clocking up to 20 MHz. Classic XIAO Designs: Retains the classic XIAO designs of the thumb-size form factor of 21 x 17.8mm and single-sided mount, making it ideal for space-limited projects such as wearables. Integration with popular cloud platforms: ESP Rain Maker, AWS IoT, Microsoft Azure, and Google Cloud. Applications: Secure and connected smart home that improves everyday living with automation, remote control, and more. Space-limited and battery-powered wearables, thanks to their small size and low power consumption Wireless IoT scenarios enable speedy, reliable data delivery. Seeed Studio XIAO ESP32-C6 Development Board Pinout Diagram

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