Arduino Micro with Headers The Arduino Micro was developed by Arduino in collaboration with Adafruit. The Arduino micro is a powerful development board integrated with the ATmega32U4 microcontroller. This arduino board features 20 digital input/output pins (of which 7 can be used as PWM outputs and 12 as analog inputs), a 16 MHz crystal oscillator, a micro USB connection, an ICSP header, and a reset button. The Arduino Micro contains everything needed to support the microcontroller; simply connect it to a computer with a micro USB cable to get started. It has a form factor that enables it to be easily placed on a breadboard. This Original Arduino Micro is similar to the Arduino Leonardo in that the ATmega32U4 has built-in USB communication, eliminating the need for a secondary processor. This allows the Micro to appear to a connected computer as a mouse and keyboard, in addition to a virtual (CDC) serial / COM port. It also has other implications for the behaviour of the board. Onboard is the processor, crystal, micro USB connection with fuse, Reset button, ISP low-level reprogramming header, ON LED, TX and RX LEDs, an extra user pin #13 LED, and a 3.3V regulator. You’ll probably also want to pick up a micro-B USB cable to connect this board to your computer You can use it for basic Arduino sketches as well as USB client projects like making it appear as a mouse or keyboard to your computer! Although it is not shield compatible – it does have all the same pins as a Leonardo. Its best for when you want to shrink your project down or use it on a breadboard. Pinout of Arduino Micro Note: Iotcart is the authorized seller of Arduino in India. Therefore, even if you are Bangalore, Hyderabad, Mumbai, or Pune, you can order and buy Arduino Micro online from the comfort of your home. Look out our various collections of Original Arduino Boards .

Official Arduino Nicla Sense ME Development Board The Official Arduino Nicla Sense ME is a compact, low-power development board that redefines intelligent sensing solutions with cutting-edge sensor fusion and on-edge AI capabilities. Engineered in collaboration with Bosch Sensortec, it features four advanced sensors: the BHI260AP motion sensor with built-in AI, BMM150 magnetometer, BMP390 pressure sensor, and the BME688—an innovative 4-in-1 gas sensor with integrated AI for high-precision temperature, humidity, pressure, and air quality monitoring. Its name, “Sense ME,” reflects its dual ability to sense motion and environment. With robust computational power in a tiny footprint, it enables standalone, battery-operated applications that require smart sensing, while offering seamless integration into the Arduino ecosystem. As part of the Arduino Pro’s Nicla family, it is modular, cost-effective, and compatible with the Arduino MKR and Portenta series, making it ideal for both prototyping and deployment at scale. Features: Ultra-Compact Design: Tiny form factor ideal for space-constrained applications Low Power Consumption: Designed for energy-efficient, long-term operation Standalone Functionality: Fully operational on battery power without external hardware Edge AI Capabilities: On-board processor supports intelligent data processing at the edge Comprehensive Sensing: Accurately measures motion (rotation, acceleration) and environmental factors (temperature, humidity, pressure, air quality, CO?) Industrial-Grade Sensors: Built-in Bosch Sensortec sensors with embedded AI for reliable performance Always-On Sensing: Continuous sensor data processing with ultra-low power usage BLE Connectivity: Built-in Bluetooth Low Energy for seamless integration with consumer and professional devices Plug-and-Play Integration: Easily adds sensing capabilities to existing Arduino and IoT projects Arduino Nicla Sense Pinout Diagram:

Official Arduino Portenta Vision Shield with Ethernet Connectivity The Official Arduino Portenta Vision Shield with Ethernet Connectivity is a powerful hardware expansion designed to bring advanced industrial features to your Arduino Portenta projects. Specifically built for the Portenta H7, this shield enables embedded computer vision capabilities, allowing you to deploy AI-powered image and sound recognition at the edge. With a built-in microphone for audio event detection and Ethernet connectivity for stable data transmission to the Arduino Cloud or custom infrastructure, the Portenta Vision Shield is ideal for IoT, automation, and smart surveillance applications. Unlock the full potential of your Portenta board with this robust and scalable vision solution. Arduino Portenta Vision Shield Pinout: Features: The OpenMV for Official Arduino editor is used to perform image recognition algorithms on a 320×320-pixel camera sensor utilizing a Portenta core. Use a 100 Mbps Ethernet connector to connect your Portenta H7 to the wired Internet. Two inbuilt microphones for directional sound detection record and analyze sound in real time. JTAG connector: Use an external programmer to perform low-level debugging or customized firmware updates on your Portenta board. SD-Card connector: save collected data on the card or read configuration files.

Original Arduino Micro without Headers Arduino Micro is the perfect solution for all your prototyping and development needs. It is compact, versatile, advanced, high quality, user-friendly, and educational. Made in collaboration with Adafruit, Arduino Micro ensures the highest quality and durability. Its built-in USB technology provides seamless communication with your computer and guarantees reliable performance. The premium materials used in Arduino Micro offer robust performance, making it suitable for educational and professional use, perfect for creating interactive projects. Our Arduino Micro is easy to use and maintain with comprehensive online tutorials and community support, designed to solve complex prototyping needs. Arduino Micro measures 48mm x 18mm and is suitable for a wide range of projects. Available in standard size. Ideal for students, hobbyists, engineers, and developers. Pinout Diagram:

Official Arduino MKR WAN 1310 Development Board The Official Arduino MKR WAN 1310 is an open-source development board designed to bring reliable and energy-efficient LoRa connectivity to your IoT projects. Ideal for applications requiring low power consumption, this board integrates the powerful Arm Cortex-M0 32-bit SAMD21 processor, the advanced Murata CMWX1ZZABZ LoRa module, and the ECC508 crypto-chip for enhanced security. It offers seamless connectivity with the Arduino IoT Cloud, custom LoRa networks using the Arduino LoRa PRO Gateway, and existing LoRaWAN infrastructures like The Things Network. As part of the versatile MKR family, it supports a wide range of compatible shields, allowing users to prototype and deploy IoT solutions quickly and efficiently. Features: LoRaWAN Connectivity: Easily transmit data from remote locations to gateways connected to The Things Stack (TTS), enabling cloud-based data access via the Arduino IoT Cloud. The Things Network Compatibility: Seamlessly integrates with LoRaWAN infrastructures like The Things Network for community-driven, wide-range wireless communication. Peer-to-Peer Communication: Supports board-to-board communication—ideal for creating setups like remote LED control between two MKR WAN 1310 boards. Flexible Networking Options: Use LoRa to implement your own private networks or connect to public LoRaWAN services. Reliable Build Quality: Built to Arduino’s high standards, ensuring consistent performance and durability for long-term IoT applications. Arduino MKR WAN 1310 Pinout Diagram:

Arduino Nano 33BLE Sense Rev2 with Headers ABX00070 The Arduino Nano BLE sense Rev 2 is a completely new Arduino AI-enabled board in the smallest form factor. The Arduino Nano 33 BLE Sense Rev2 is a miniature-sized module containing a NINA B306 module, based on Nordic nRF52840 and containing a Cortex M4F. The BMI270 and BMM150 jointly provide a 9-axis IMU. The Arduino Nano 33 BLE Sense Rev2 can either be mounted as a DIP component (when mounting pin headers) or as an SMT component, directly soldering it via the castellated pads. This innovative product offers maximum flexibility when connecting other devices due to its compatibility with most major operating systems like Windows 10 S/IoT Core Operating System plus Android 7+ OS support via USB OTG Host mode. It also runs on CircuitPython so custom firmware development is possible during prototyping stages and then easily transferred onto production ready hardware at a later stage if needed! Furthermore, thanks to its low power consumption you don't have to worry about battery life being compromised either - making your project both energy efficient AND cost-effective – what more could you want? Pinout Of Arduino Nano BLE Sense (Rev-2) What is the main feature of the Arduino Nano BLE sense Rev2 board? The main feature of the Arduino Nano 33 BLE Sense Rev2 board is the possibility of running Edge Computing applications (AI) on it using TinyML. You can create your machine learning models using TensorFlow Lite and upload them to your board using the Arduino IDE. Note: Iotcart is the authorized seller of Arduino in India. Therefore, even if you are in Bangalore, Hyderabad, Mumbai, or Pune, you can order and buy the Arduino Nano 33 BLE Sense Rev2 board online from the comfort of your home. Visit our official Arduino Board page for original Arduino Boards. Key Features: Features the nRF52840 from Nordic Semiconductors. Offers 1MB of program memory and 128 times larger RAM. Ensures efficient operation and longer battery life. Includes 9-axis inertial sensor, humidity, temperature, barometric, microphone, and gesture/proximity/light sensors. Enables Edge Computing applications using TinyML. Supports Bluetooth pairing via NFC. Can function as both a BLE and Bluetooth client and host device. Humidity, temperature, and barometric sensors provide highly accurate measurements. Gesture, proximity, light color, and light intensity sensors provide information about luminosity and movement. Microphone allows for capturing and analyzing sound in real time. Pinout: Pinout of Arduino Nano BLE Sense (Rev-2) Arduino Nano 33 BLE Sense Explained:

Official Arduino Nano RP2040 Connect Development Board with Header The Official Arduino Nano RP2040 Connect with Header is the only connected RP2040 board, offering an exceptional blend of power, connectivity, and compactness. Designed in the familiar Arduino Nano form factor, it delivers big features in a small package. At its core lies the Raspberry Pi RP2040 microcontroller — a dual-core ARM Cortex M0+ processor running at 133 MHz, supported by 264KB of SRAM and 16MB of off-chip flash memory for extended storage. What sets this board apart is its built-in connectivity, enabled by the versatile u-blox NINA-W102 radio module, making it a fully IoT-capable device with full compatibility with the Arduino Cloud. The Arduino board also features onboard sensors, including a microphone and motion sensor, allowing users to create intelligent, interactive applications with minimal hardware. Whether you're upgrading an existing project or starting a new IoT innovation, the Arduino Nano RP2040 Connect is the premium choice for unleashing your creativity with RP2040. Features: RP2040 Microcontroller: Dual-core ARM Cortex M0+ processor running at 133 MHz for efficient parallel processing. Ample Memory: 264KB of SRAM and 16MB off-chip flash memory provide ample space for complex applications and data storage. Wi-Fi and Bluetooth Connectivity: Equipped with the u-blox NINA-W102 module, enabling reliable wireless communication for IoT projects. Arduino Cloud Compatible: Seamless integration with the Arduino Cloud platform for remote device management and real-time data access. Built-in Sensors: Includes onboard MEMS microphone and 6-axis IMU (accelerometer + gyroscope) for voice detection and motion sensing. Compact Nano Form Factor: Small size (compatible with Arduino Nano footprint) makes it ideal for embedded and space-constrained projects. USB Micro-B Port: Easy programming and power via USB connection Pre-soldered Headers: Comes with headers alredy soldered for immediate use with breadboards or direct integration. Secure Communication: Features crypto chip (ATECC608A) for secure communication in IoT environments. Rich I/O Options: Multiple digital and analog I/O pins to support a wide range of sensors and actuators.

Official Arduino Nicla Vision Development Board The Official Arduino Nicla Vision is a compact and powerful board designed to bring machine vision and edge AI capabilities to your next smart project. This Arduino microcontroller Equipped with an STM32H747AII6 Dual ARM Cortex M7/M4 processor and a 2MP color camera, it supports on-device TinyML for applications like object recognition and predictive maintenance. It also features a 6-axis motion sensor, integrated microphone, and a distance sensor, making it ideal for smart environments such as automated homes and intelligent gardens. The Nicla Vision development board is compatible with Arduino Portenta and MKR boards, integrates seamlessly with OpenMV, and supports MicroPython for rapid development. With built-in WiFi and Bluetooth Low Energy, it enables remote connectivity and control via the Arduino IoT Cloud. Despite its advanced capabilities, it comes in a tiny 22.86 x 22.86 mm form factor and can be battery-powered for fully standalone applications. Whether you're a beginner or a pro, Nicla Vision is your gateway to developing smart, connected solutions with ease. Features: Ultra-Compact Size: Tiny 22.86 x 22.86 mm form factor – ideal for embedded applications Edge AI Capabilities: Powerful STM32H747AII6 Dual ARM® Cortex® M7/M4 processor for on-device intelligence Integrated sensors: 6-axis smart motion sensor, Built-in microphone, Distance sensor Wireless Connectivity: Equipped with Wi-Fi and Bluetooth® Low Energy for seamless IoT integration MicroPython Support: Program and prototype rapidly with MicroPython compatibility Battery Operable: Supports standalone operation with battery power for mobile or remote use Flexible Integration: Easily adds sensing and vision capabilities to existing projects Rapid Prototyping: Speeds up development of machine vision and edge AI prototypes Arduino Official Product: Part of the Arduino ecosystem – compatible with Portenta and MKR families Arduino Nicla Vision Pinout Diagram:

Official Arduino Portenta H7 Lite Connected Development Board The Portenta H7 Lite Connected offers the computational power of the Portenta H7 for AI applications and low-latency control solutions, while being more cost-effective due to the absence of a high-resolution video interface. It bridges the gap between the full H7 and H7 Lite versions, providing a balance of performance and simplicity for Arduino Pro users. This version integrates wireless connectivity, making it an ideal choice for building versatile solutions. The Arduino Portenta H7 Lite Connected features dual processors, allowing the simultaneous execution of high-level code and real-time tasks. For instance, it can run Arduino-compiled code and MicroPython concurrently, with seamless communication between the two cores using a Remote Procedure Call mechanism. This makes it perfect for applications where machine learning algorithms need to run alongside real-time sensor and actuator interactions. Applications: High-end industrial machinery Laboratory equipment Computer vision PLCs Robotics controllers Mission-critical devices High-speed booting computation (ms) Features: Flexible Programming Options: Supports multiple programming environments, including Official Arduino and MicroPython, for versatile development. Parallel Task Management: Dual-core architecture enables seamless communication between cores, allowing efficient integration of complex functions and algorithms. Industrial-Grade Applications: Designed for use in industrial settings, especially when combined with the Portenta Vision Shield for real-time video processing. Power Efficiency: Optimized for low-latency operations, balancing performance with minimal power consumption. Modular Expansion: High-density connector facilitates easy integration with other Portenta family modules and shields for expanded capabilities. Robust Debugging Support: Features a JTAG/SWD interface for hardware debugging, supporting development and troubleshooting processes effectively.

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