PN7120 NFC Controller SBC Kit

HX203D Smart-ID Chip Card Reader This HX203D card reader can read RFID card serial numbers and output to your computer according to the specified format, then management software derives many more functions. This RFID card reader is a simple, fast-read card. Belong to standard HID devices do not need to install the driver and can be read in any number, this function is suitable for extended functionality in existing software, without any modification to the original software. Check out our entire range of IOT & Wireless Applications: Access control Security needs. Time attendance Inventory Management Asset Tracking

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.

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

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.

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

Official Arduino UNO Q SBC 4GB ABX00173 The Arduino UNO Q SBC 4GB ABX00173 is a powerful and humanized dual-brain development platform designed to seamlessly bridge high-performance computing with real-time control. Featuring a Linux® Debian-capable Qualcomm® Dragonwing™ QRB2210 microprocessor alongside a real-time STM32U585 microcontroller (MCU), this 4GB variant delivers enhanced memory capacity for demanding AI-driven applications. Whether you're building systems for object recognition, voice commands, motion detection, or other intelligent edge applications, the Arduino UNO Q 4GB provides the perfect balance between a full-fledged single-board computer and precise microcontroller control. It’s not just Arduino—it’s a complete innovation platform ready to power your next advanced project. This edition of Arduino UNO Q has 4 GB of RAM and 32 GB of eMMC, making it the best choice if: You plan to use UNO Q in single-board computer (SBC) mode. Your application requires numerous high-level processes to execute at the same time. You intend to use larger, more complex AI or machine learning models (such as high-resolution computer vision or advanced audio processing). You'll need enough of built-in storage for logs and data, as well as a strong development environment. The Arduino UNO Q is the ideal tool for prototyping your next robotics or IoT project because: All-in-One Toolbox: The Arduino UNO Q is a versatile tool that combines the Dragonwing™ QRB2210 microprocessor (MPU) with a real-time STM32U585 microcontroller (MCU), making it ideal for any project. AI in a blink: Discover AI-powered vision and sound solutions that respond to their surroundings. Millions of Arduino users have created libraries, sketches, and projects for the UNO ecosystem. Compatible with the Arduino UNO ecosystem: UNO Q is compatible with a wide range of Arduino hardware, including old UNO shields and new carriers, as well as Modulino® nodes and third-party modules via the Qwiic connector. Streamlined software experience: In addition to the Arduino IDE and Arduino Cloud, you can get started with a plethora of pre-built examples and AI models available through Arduino App Lab. Seamless, unified development: create classic Arduino Sketches, code in Python® using the pre-installed Linux® Debian OS, or combine the two from a single interface - easy with Arduino App Lab. What is the Arduino App Lab? Unified Developer Experience App Lab is a brand-new comprehensive development environment that unifies the journey from Linux® to real-time OS. Preloaded on the UNO Q, App Lab combines Arduino Sketches, Python® scripts, and containerized AI models to create fully integrated applications that can be administered from a single interface. Ready-to-use Apps and Bricks Get started quickly with Arduino Apps, self-contained examples that include everything you need. Add plug-and-play capabilities to your projects using pre-built Bricks to help you push your ideas even further. Pre-loaded AI models With pre-loaded AI models in Arduino App Lab, you can use real-world data for a variety of tasks, including object/human detection, anomaly detection, image categorization, sound recognition, and keyword spotting. Find out more in the official documentation . Features: Microprocessor: Qualcomm® Dragonwing™ QRB2210 Microcontroller: Real-time, low-power STM32U585 MCU RAM: 4 GB LPDDR4 Storage: 32 GB eMMC built-in (no SD card required) Connectivity: Dual-band Wi-Fi® 5 (2.4/5 GHz), Bluetooth® 5.1 High-speed headers: Power advanced peripherals – vision, audio, display Classic UNO headers: Mount shields to add capabilities LED matrix: 8 x 13 LED matrix for visual creation and feedback USB-C connector: Power delivery, video output, or connect keyboard, mouse, USB microphones or USB cameras via dongle Qwiic connector: Expand easily with Modulino® nodes – no soldering required

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

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

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.

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 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 Arduino UNO Q SBC ABX00162 The Official Arduino UNO Q is a versatile single board computer designed for makers, developers, and innovators. Its hybrid architecture combines a Linux® Debian-capable Qualcomm® Dragonwing™ QRB2210 microprocessor with a real-time STM32U585 microcontroller, giving you the flexibility to run AI-powered vision and sound applications while maintaining real-time control. Fully compatible with the Arduino UNO ecosystem, it supports classic shields, Modulino® nodes, and third-party modules via the Qwiic connector. With seamless software integration through Arduino IDE, Arduino Cloud, or Python® on Linux®, plus pre-built examples and AI models available in Arduino App Lab, the UNO Q makes building advanced projects intuitive and powerful. Dual-Core Processing Power Robotics and Embedded Application Hands-On Development and Programming The Illuminated Command Center Powered by Qualcomm Dragonwing QRB2210 Your UNO Q is a compact, cost-effective platform with advanced features such as machine vision, owing to the Dragonwing QRB2210's integrated AI and GPU acceleration, quad-core 2.0 GHz CPU, Adreno GPU, 2x ISP, and support for camera, display, and audio. Features: Microprocessor: Qualcomm® Dragonwing™ QRB2210. Microcontroller: Real-time and low-power STM32U585 MCU RAM: 2 GB LPDDR4. Storage: 16 GB eMMC built-in (no SD card needed). Connectivity: options include dual-band Wi-Fi® 5 (2.4/5 GHz) and Bluetooth® 5.1 High-speed headers: Power advanced peripherals (vision, audio, display) Classic UNO headers: Mount shields to increase capabilities. LED matrix: (8 x 13) for visual creation and feedback. USB-C Connector: Power delivery, video output, or connecting a keyboard, mouse, USB microphones, or USB cameras via dongle Qwiic Connector: Modulino® nodes allow for easy expansion without the need for soldering. What is Arduino App Lab? Unified Developer Experience App Lab is a brand-new comprehensive development environment that unifies the journey from Linux® to real-time OS. Preloaded on the UNO Q, App Lab combines Arduino Sketches, Python® scripts, and containerized AI models to create fully integrated applications that can be administered from a single interface. Ready-to-use Apps and Bricks Get started quickly with Arduino Apps, self-contained examples that include everything you need. Add plug-and-play capabilities to your projects using pre-built Bricks to help you push your ideas even further. Pre-loaded AI models With pre-loaded AI models in Arduino App Lab, you can use real-world data for a variety of tasks, including object/human detection, anomaly detection, image categorization, sound recognition, and keyword spotting.

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

Waveshare UGV Beast Open-source Off-Road AI Robot Chassis Kit with Raspberry Pi 4B and Pan Tilt - PT PI4B ROS2 The UGV Beast ROS2 Kit is a cutting-edge AI robot designed for those interested in exploration, creation, and robotics. Built on ROS 2, it comes equipped with a Lidar and depth camera, making it perfect for both tech enthusiasts and beginners looking to dive into intelligent technology. With its dual-controller design, it combines the power of a host controller for high-level AI functions and a sub-controller for high-frequency operations, ensuring smooth and accurate performance in all tasks. The UGV Beast is easily controlled remotely through a web application—no software installation required—allowing users to begin their journey simply by opening a browser. This robot supports real-time high-frame rate video and a range of AI Computer Vision capabilities, making it an ideal platform to test and bring creative ideas to life. Powered by a Raspberry Pi, the UGV Beast provides the computational power needed for complex functions and exploration, offering endless opportunities to realize your innovative concepts. Features: Based on Raspberry Pi Supports Raspberry Pi 4B, with powerful computing performance to handle more complex tasks, offering more possibilities Dual-Controller Architecture Offers Improved Performance and Effective Teamwork. The sub controller employs an ESP32 for motion control and sensor data processing, while the host controller uses a Raspberry Pi for AI vision and strategy planning. Raspberry Pi OS + ROS2 Docker Guarantees both system compatibility and the robot's enhanced decision-making performance. All AI features of the earlier AI Kit series products are supported. 360° Flexible Omnidirectional Pan-Tilt equipped with 5MP 160° wide-angle camera for capturing every detail All ROS 2 Development Resources are Free Source. All host controller and sub controller demonstrations, including the robot description file (URDF model), the sub controller's sensor data processing node, kinematic control algorithms, and several remote-control nodes, are open source. Multiple Cost-Effective Sensors Adopts multiple sensors with high cost-effectiveness and practicality Auto-Exploration and Mapping Implementing mapping and navigation features concurrently in unfamiliar locations Ising SLAM Toolbox, which streamlines the task execution method. Unmanned applications can benefit from the UGV robot's ability to map and explore new places on its own. Facilitates Communication with Natural Language By using large language model (LLM) technology, users may command the robot using natural language, allowing it to carry out activities including mapping, navigation, and movement. Offers a Web Console Tool Without setting up a virtual machine on your computer, you may use the basic ROS 2 features online. It also works cross-platform on tablets running iOS or Android. To move, map, navigate, and perform other tasks, users only need to launch a web browser. As Night Falls, the Adventure Continues, Supporting Tactical Extension LED light with high brightness to ensure sharp images in low light Recognition, Tracking, and Targeting Built on OpenCV to do automatic targeting and color recognition. allows for extension for additional functionalities and supports automatic LED illumination and one-key pan-tilt control. Other Features: Supports Various ROS 2 Mapping Methods: Meet the needs of mapping in different scenarios ROS2 node command interaction: Users can send control commands via script for operations like moving, location tracking, and navigation, enabling convenient secondary development. Gazebo simulation debugging: Offers Gazebo robot mode and a complete functionality library for simulation debugging, helping verify and test the system in early development stages. Standard Aluminum rail: Includes 2 × 1020 European standard profile rails and allows for the easy expansion of specific operation situations by adding more peripherals via the boat nuts to suit various needs. Supports driving in complex terrain: Enables more stable off-road crossing by utilizing tracked mobile robot chassis with independent suspension systems. Easy Control via Web App: No app needed control via browser on mobile, tablet, or PC with keyboard shortcuts like WASD and mouse support. WebRTC real-time video transmission: Flask-based lightweight web app with WebRTC for ultra-low latency, Python-powered, easily extendable, and OpenCV compatible. Face Detection & Auto Capture: Based on OpenCV to achieve Face recognition, supports automatic photo taking or video recording once a face is recognized. Intelligent Object Recognition: Supports recognizing for many common objects with the default model. Gesture Recognition: AI-Powered Body Interaction: Combines OpenCV and Media Pipe to realize gesture control of Pan-Tilt and LED. More Media Pipe Demos for Easy Video Processing: MediaPipe, an open-source framework by Google, enables high-performance multimedia processing for real-time video analytics in robotics. 40PIN GPIO Extended Header: The robot uses only the Raspberry Pi UART GPIO for communication while providing a 40PIN header for peripheral expansion. Real-Time Data Feedback: Real-time monitoring the operating status of the robot. Web Command Line Tool with Expandable Functions: Quick to set up, easy to expand Easily customize and add new functions without Modifying front-end code. ESP-NOW Wireless Communication for Robots: Using the ESP-NOW protocol, multiple robots can communicate without IP/MAC addresses, enabling multi-device collaboration with 100-microsecond low-latency. Gamepad Control for Enhanced Operation: Includes a wireless gamepad for flexible robot control via USB receiver, with open-source demo for custom interaction methods. Supports 4G/5G Expansion: Supports installing 4G/5G module* for the application scenarios without Wi-Fi. Enables Remote Control via Internet: Our WebRTC-based web demos enable real-time video streaming and remote robot control, with Ngrok tutorials for easy setup. Supports installing smartphone holder: Use a spare phone as a hotspot via a holder for low-cost internet-based remote control. Interactive Tutorials for Hands-on Learning: Supports Jupyter Lab access on mobile and tablets for easy tutorial reading and code editing online. Rich Tutorial Resources: We Provide Complete Tutorials And demos To Help Users Get Started Quickly for Learning and Secondary Development.