M5Stack UnitV AI Camera (OV7740)

reComputer J3010 Edge AI Computer with NVIDIA Jetson Orin Nano 4GB Brains of a genius, size of a sandwich - The reComputer J3010 Edge AI Computer by Seeed Studio is a high-performance and compact solution designed for AI applications at the edge. Powered by the NVIDIA Jetson Orin Nano 4GB SoM, it delivers robust processing capabilities optimized for machine learning and AI workloads. The device comes pre-installed with Jetpack 5.1.1 (Super Mode JP6.2), enabling advanced AI features and superior performance. It includes a 128GB SSD for ample storage, along with versatile connectivity options such as 4x USB 3.2 ports, HDMI output, and Gigabit Ethernet. The carrier board expands flexibility with M.2 Key E for WiFi, M.2 Key M for additional SSD storage, RTC, CAN interface, and a 40-pin GPIO header. As a dedicated Edge AI computer, the reComputer J3010 is ideal for industrial automation, robotics, smart vision, and other AI-driven applications where compactness and performance are critical. (Power adapter not included). Related Searches - Orin Nano Accesories Features: Capable of Bringing Generic AI to the Edge You can now create AI agents capable of analyzing enormous amounts of live or archived videos and images using Vision-Language Models (VLM) such as LLaVA. These new AI agents assist practically every industry in summarizing, searching, and extracting actionable insights from video using natural language. Create Multi-stream AI Video Analytics Jetson Orin Nano uses the NVIDIA Multi-Standard Video Decoder into its video analytics architecture. This video decoder speeds up video decoding by supporting low-resolution mobile material, Standard Definition (SD), High Definition (HD), and UltraHD (8K, 4K, etc). reComputer J3010 supports 11x1080p30 streaming. See our tested YOLOv8 performance utilizing NVIDIA Deepstream for single and multi-model multi-stream scenarios. Fastest Way to Deploy Generative AI and Computer Vision Models We have prepared a Jetson example for you! It provides one-line deployment of edge AI apps such as Ollama and Llama3, as well as computer vision tools such as YOLOv8. We have configured the entire environment for you to allow a single command deployment of projects. Hardware Overview: reComputer J401 Carrier Board, Included in the Full System - reComputer J3010 Desktop, Wall Mount, Expandable, or Fit in Anywhere User Projects Made With the J3010 Smart Security Camera that detects people and tracks movement using simple CV models. Line-Following or Obstacle-Avoiding Robot for classrooms, workshops, and hobby builds. AI Face Recognition System for attendance, home automation triggers, or DIY access control. Which Jetson Is Right for You? Jetson Module AI Performance (TOPS) CUDA Cores Best For Ideal User Jetson Nano ~0.5 TOPS 128 Basic AI tasks, simple robotics, learning projects Students, hobbyists, first-time AI builders Jetson Orin Nano (4GB) Up to 20 TOPS 512 Entry-level edge AI, vision projects, DIY automation Makers and beginners upgrading from Nano Jetson Orin Nano (8GB) Up to 40 TOPS 1024 Real-time vision, robotics, AI robotics kits, compact automation Developers building smarter robots and edge AI systems Jetson Orin NX Up to 100 TOPS 1024 Heavy AI workloads, multi-model pipelines, advanced robotics Professionals needing workstation-level edge performance Jetson Orin Nano – J3010 Variant Up to 20 TOPS 1024 Efficient edge AI computing, robotics, smart cameras Users who want high performance in a small, power-efficient system Applications: AI Video Analytics Machine Vision Autonomous Mobile Robot (AMR) Generative AI

Jetson Orin Nano 8GB RAM New Generation Embedded Smart T201S AI Edge Computer The Jetson Orin Nano 8GB RAM New Generation Embedded Smart T201S AI Edge Computer is an advanced AI edge computing platform designed for developers, engineers, makers, and innovators working on intelligent systems. Built around the powerful NVIDIA Jetson Orin Nano module, this embedded AI computer delivers strong performance for real-time machine learning, computer vision, autonomous robotics, and smart IoT applications. It provides a ready-to-use hardware foundation that simplifies development and testing, helping you accelerate your projects from prototype to deployment. This AI edge computer is ideal for use in robotics, automated systems, smart surveillance, and industrial IoT where on-device inferencing and low-latency processing are critical. It supports popular AI frameworks like TensorFlow, PyTorch, and NVIDIA JetPack SDK, giving you flexibility to run neural networks efficiently at the edge without relying on cloud resources. Whether you are building smart machines, AI-powered sensors, or embedded vision systems, the T201S offers reliable performance and broad ecosystem support to bring your AI ideas to life. Features: Built around the NVIDIA Jetson Orin Nano module for powerful edge AI performance Provides real-time AI processing for computer vision, robotics, and automation Supports popular AI frameworks like TensorFlow, PyTorch, and NVIDIA JetPack SDK Multiple I/O interfaces for cameras, sensors, displays, and peripherals Ideal for smart IoT devices, autonomous systems, and embedded AI applications Compact and energy-efficient design for both prototyping and deployment

ACEBOTT QD107 AI Vision For TinkerBott Car V1.1 (Car Kit is Not Included) ACEBOTT QD107 AI Vision Module for TinkerBott Car V1.1 enhances your robot with smart image recognition, object tracking, and AI-powered interaction capabilities. Built around an ESP32 camera system, this upgrade allows students and makers to explore computer vision, machine learning, and intelligent robotics in a hands-on way. Whether used in STEM classrooms or home robotics projects, the QD107 adds exciting new functionality to the TinkerBott platform, making coding and learning more engaging and interactive. Features AI-powered vision module enables object detection, recognition, and tracking. Built-in ESP32 camera provides fast image processing and wireless communication. Plug-and-play upgrade designed specifically for TinkerBott Car V1.1. Supports multiple programming platforms, making it ideal for beginners and advanced learners. Enhances STEM learning with hands-on experience in computer vision and AI robotics. Lightweight and modular design allows easy installation without affecting robot mobility.

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

SmartElex Ai Thinker Ai M62 32S Development Kit The SmartElex AI Thinker Ai-M62-32S Development Kit is a powerful and versatile solution designed for modern wireless and IoT applications. Built around the BL616 RISC-V CPU, it delivers high performance with a maximum operating frequency of 320 MHz, making it suitable for real-time data processing and edge computing. This AI thinker modules platform supports Wi-Fi 6, BLE 5.3, and Thread protocol, ensuring fast, stable, and low-power connectivity. The Ai-M62-32S Development Kit features a wide range of interfaces including USB 2.0, SPI, UART, I2C, I2S, PWM, ADC, DAC, and GPIO, enabling seamless integration with sensors, displays, and peripherals. With built-in hardware security engines supporting AES, SHA, PKA, and TRNG, along with secure boot and encrypted firmware startup, it meets strict security requirements for IoT deployments. This makes the Ai-M62-32S Development Kit an excellent choice for smart home systems, wearable electronics, multimedia devices, and next-generation IoT solutions. Features: Supports the 2.4GHz operational frequency band. Support IEEE 802.11 B/G/N/AX. Support BLE 5.3. Wi-Fi Security Support WPS/WEP/WPA/WPA2/WPA3 Supports 20/40MHz bandwidth, 1T1R, maximum rate of 229.4 Mbps Supports STA, SoftAP, STA+SoftAP, and sniffer modes. A 32-bit RISC-V CPU with FPU and DSP has a maximum dominant frequency of 320M. 532KB SRAM, 128KB ROM, 4KB eFuse. Supports USB2.0, SDU, SD/MMC (SDH), SPI, UART, I2C, I2S, PWM, GPDAC, GPADC, ACOMP, and GPIO, among others.

reComputer J4012B Edge AI Computer Powered by NVIDIA Jetson Orin NX 16GB 100 TOPS AI The reComputer J4012B Edge AI Computer, built on the NVIDIA Jetson Orin NX 16GB module, is engineered for high-performance AI at the edge, delivering up to 100 TOPS of AI compute for robotics, automation, vision systems, and industrial AI deployments. With a powerful 8-core Arm CPU, Ampere GPU with Tensor Cores, and 16GB LPDDR5 memory, this compact edge device is ideal for tasks such as real-time inference, multi-camera processing, deep learning, and edge analytics. The pre-installed JetPack 5.1.3 ensures a ready-to-deploy development environment with optimized CUDA, cuDNN, and TensorRT support. Designed for both prototyping and large-scale production, the reComputer J4012B includes a rich set of interfaces - USB 3.2, HDMI, Gigabit Ethernet, M.2 Key M for SSD, M.2 Key E for Wi-Fi, mini-PCIe for LTE, CAN bus, and 40-pin expansion header. With a durable aluminum case, active cooling, 128GB NVMe SSD, and certifications including CE, FCC, KC, ROHS, REACH, this device is ready for industrial, commercial, and AIoT applications. Guaranteed long-term availability until 2032, the J4012B is a future-proof platform for next-generation edge computing. Features: Powered by NVIDIA Jetson Orin NX 16GB, delivering up to 100 TOPS for advanced AI workloads. Features a 1024-core NVIDIA Ampere GPU with 16 Tensor Cores for accelerated deep learning and computer vision tasks. Built with a high-efficiency 8-core Arm Cortex-A78AE CPU for reliable real-time edge processing. Comes pre-installed with a 128GB NVMe SSD for fast storage and ready-to-deploy performance. Offers rich connectivity: 2× USB 3.2, HDMI, Gigabit Ethernet, M.2 Key M, M.2 Key E, mini-PCIe, CAN, 40-pin GPIO and more. Includes JetPack 5.1.3 preloaded for immediate development in Linux, CUDA, and AI frameworks. Robust aluminum enclosure with active cooling for stable 24/7 operation. Certified with CE, FCC, KC, UKCA, ROHS, REACH for industrial and commercial use. Long-term supply availability until 2032, ideal for scalable deployments. Applications: Smart Lamppost Systems Smart lampposts use integrated sensors to monitor traffic flow, pedestrian movement, and environmental conditions. The collected data helps city authorities optimize traffic control and improve public safety. Many smart lampposts also operate on solar energy, storing power for nighttime illumination and even feeding surplus electricity back into the grid to support sustainable urban infrastructure EV Battery Swapping & Charging Infrastructure Modern EV charging and battery-swapping stations connect directly to smart grid networks, enabling efficient load balancing and optimized charging schedules. This reduces strain on the grid during peak hours and ensures faster turnaround times for EV users. Advanced systems even allow certain electric vehicles to return power to the grid, contributing to a more resilient and flexible energy ecosystem. Smart Recycling & Waste Management Centers Smart recycling hubs utilize sensors embedded in collection bins to track fill levels, minimizing unnecessary collection trips and reducing operational costs. Energy-efficient sorting machines operate during off-peak hours, lowering power consumption. Recycled materials collected through these systems are often further utilized in manufacturing components for EVs, renewable energy setups, and other smart grid technologies, promoting a circular and sustainable industrial cycle. Hardware Overview:

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.

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 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

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 .

ACEBOTT ESP32 Smart Farm IoT Starter Kit with Arduino IDE/ACECode(Scratch) - QE002 The ACEBOTT ESP32 Smart Farm IoT Starter Kit is a fun method for children aged eight and up to learn about farming and technology. Imagine them constructing a spinning solar windmill, a pet feeder, or an automatic watering system. This package makes learning about modern farming and programming enjoyable and interactive. It comes with 16 easy-to-follow tutorials that guide kids from simple to more advanced projects. Made from safe, eco-friendly plywood, the kit is easy to put together and can be decorated to match their style. It’s a great gift for birthdays or any special occasion, encouraging kids to learn and be creative! Click Here to download tutorials ACEBOTT ESP32 Smart Farm IoT Starter Kit Assembly Guide