Official Arduino Portenta Proto Kit VE for Advanced Prototyping

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 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

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 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

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.

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

Arduino Explore IOT Kit Rev2 AKX00044 The Arduino Explore IoT Kit Rev2 is a great tool for high school and college students who want to learn about creating connected devices, or IoT. It helps them quickly get started with easy activities and work on 10 hands-on projects focused on important issues like sustainability. These projects let students solve real-world problems related to the UN’s Sustainable Development Goals, such as improving urban farming, health monitoring, and managing water and waste. They’ll use design thinking to come up with their own solutions. This kit not only teaches technology but also helps students understand and address important challenges, preparing them to make a positive impact on the world. Learning Outcomes: Gain a solid understanding of how Internet-connected devices work and communicate. Explore and solve global sustainability challenges related to the UN’s Sustainable Development Goals. Learn to manage and analyze data using real-world sensors. Develop skills in computational thinking through data handling and device control. Use the Cloud to remotely control actuators like LEDs, buzzers, and displays based on sensor data.

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:

Arduino Nano 33 IOT Headers ABX00032 The Arduino Nano 33 IoT is a compact board for IoT projects. It features an Arm Cortex-M0 processor, Wi-Fi (u-blox NINA-W102), Bluetooth, and ECC608A security chip. It supports the Arduino Cloud and includes an IMU (LSM6DS3) for motion tracking. The Arduino Nano 33 IoT is the easiest and cheapest point of entry to enhance existing devices (and create new ones) to be part of the IoT and design pico-network applications. Whether you are looking at building a sensor network connected to your office or home router, or if you want to create a BLE device sending data to a cellphone, the Nano 33 IoT board is your one-stop solution for many of the basic IoT application scenarios. Pinout Of Arduino Nano 33 Note: Iotcart is the authorized seller of Arduino in India. Therefore, even if you are in Bangalore, Hyderabad, Mumbai, Pune, or any other part of India you can order and buy Arduino boards online from the comfort of your home.

Official Arduino Portenta Hat Carrier Development Board The Arduino Portenta Hat Carrier is a reliable and robust Portenta Carrier board for Arduino, designed to transform your Arduino Portenta board (specifically the X8, but also compatible with H7 and C33) into a versatile industrial single-board computer. This Portenta Hat Carrier board seamlessly bridges the Arduino Portenta ecosystem with the extensive range of Raspberry Pi® Hats and cameras, opening up new avenues for developing advanced commercial and industrial solutions. It offers straightforward access to a suite of essential peripherals including a CAN bus interface, Ethernet connectivity (Gigabit with Portenta X8, 100Mbit with H7/C33), a USB-A port, and a microSD card slot for data logging or system storage. Engineered for both rapid prototyping and scalable deployments, the Arduino Portenta Hat Carrier extends the capabilities of the Portenta System on Modules by incorporating a 40-pin Raspberry Pi compatible GPIO header, a dedicated MIPI CSI camera connector for machine vision tasks, and an additional 16 analog I/O pins for interfacing with sensors and actuators. For enhanced development and reliability, it includes dedicated JTAG pins for debugging and a PWM fan connector to manage thermal performance under demanding workloads, making it an ideal choice for building automation, machine monitoring, and robotics applications. Features: Compatible with Portenta X8, H7, and C33 System on Modules. Standard 40-pin header for broad Raspberry Pi® HAT compatibility. Onboard high-speed CAN FD transceiver for industrial communication. Ethernet port: Gigabit with Portenta X8, 100Mbit with H7/C33. USB-A female connector for peripherals or data logging. MicroSD card slot for data storage and media operations. MIPI CSI camera connector for machine vision applications. 16 additional analog I/O pins for sensors and actuators. Dedicated 10-pin JTAG connector for efficient debugging. PWM fan connector for active thermal management. Screw terminal block provided for power and CAN bus connections. Wide operating temperature range: -40°C to +85°C. Facilitates Linux prototyping with Portenta X8. Enables integrated real-time MCU solutions with Portenta. Designed for robotics, industrial, and building automation projects.

ATmega8 The ATmega8A IC is a low-power CMOS 8-bit microcontroller based on the AVR RISC architecture. By executing powerful instructions in a single clock cycle, the ATmega8A achieves throughputs approaching 1 MIPS per MHz, allowing the system designer to optimize power consumption versus processing speed. The ATmega has 16 KB programmable flash memory, static RAM of 1 KB and EEPROM of 512 Bytes. The endurance cycle of flash memory and EEPROM is 10,000 and 100,000, respectively. Pinout: Pinout of ATmega8A Applications: Home automation Industrial automation Robotics Automotive Medical devices Communication devices Also check ATmega32 , a high-performance, low-power 8-bit AVR RISC-based microcontroller by Atmel. It features 32KB of programmable flash memory, 2KB SRAM, 1KB EEPROM, an 8-channel 10-bit A/D converter, and a JTAG interface for on-chip debugging. The device supports a throughput of 16 MIPS at 16 MHz and operates between 4.5-5.5 volts. Package Include: 1 x ATmega8 IC

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