Arduino Tiny Machine Learning Kit

7Semi 1.27mm Pitch SHT41 Temperature & Humidity Sensor Breakout The 7Semi 1.27mm Pitch SHT41 Temperature & Humidity Sensor Breakout is a compact and high-performance sensing solution designed for modern embedded and IoT applications. Built around the advanced SHT41 Temperature & Humidity Sensor, it delivers precise environmental measurements with ±1.8% relative humidity accuracy and ±0.2°C temperature accuracy, ensuring reliable real-time data. Operating at 3.3V and consuming less than 0.15mA in low-power mode, this breakout board is optimized for long-term, battery-powered deployments. Its 16-bit digital output and flexible I2C communication with multiple address options allow seamless integration with popular microcontrollers, making it ideal for smart home systems, environmental monitoring, industrial automation, and portable electronics where accuracy, efficiency, and compact size are critical. Features: Sensing accuracy is ±1.8% RH (normal) in the 25%-75% range and ±0.2°C temperature, allowing for precise environmental observations. Ultra-Low Power Consumption: In low power mode, consumes less than 0.15mA, making it excellent for systems powered by batteries or limited electricity. The compact design features a 4-pin, 1.27 mm pitch header that allows for easy integration into dense PCB layouts. I2C Interface with Configurable Addresses: Simple to use using conventional I2C communication and pre-configured address settings. This technology has a wide range of applications, including intelligent buildings, IoT systems, industrial automation, smart homes, and environmental sensing. The temperature and humidity sensor is built using fourth-generation SHT40 digital sensor technology, ensuring long-term dependability and stability. Reliable Operating Range: Performs consistently from 0°C to 75°C under varying humidity levels.

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.

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

Cytron ESP8266 WiFi Shield for Arduino with WROOM-02 Module The Cytron ESP8266 WiFi Shield is a beginner-friendly, plug-and-play solution that makes adding WiFi connectivity to Arduino projects incredibly easy. Powered by the reliable ESP8266 WROOM-02 module, this shield eliminates the wiring complications and level-shifting issues commonly faced when using standalone ESP modules. With preloaded Cytron_ESP_AT Firmware V2.2.0, onboard 3.3V regulation, selectable UART pins, and support for AT-command control, it is the perfect choice for IoT applications, wireless sensor systems, home automation, and connected electronics. Designed with the Arduino R3 layout, this WiFi shield works seamlessly with Arduino UNO, Maker UNO, CT-UNO, CT-ARM, and various compatible boards. It also offers direct programming access to the ESP8266, breakout I/O pins, and optional microSD card support for data logging. Whether you're uploading custom firmware or using AT commands for WiFi communication, the Cytron ESP8266 WiFi Shield delivers stable wireless performance, strong signal output, and unmatched ease of integration, making it ideal for both beginners and advanced IoT developers. Features: Compatible with Arduino R3 layout boards including Maker UNO, CT-UNO, CT-ARM, Arduino UNO R3, and Arduino Leonardo. Preassembled with ESP8266 WROOM-02 module and flashed with Cytron_ESP_AT V2.2.0 firmware. Onboard 3.3V regulator capable of supplying up to 500mA for stable WiFi operation. Selectable UART/Serial communication via mini jumpers (USB, hardware serial, software serial options). Supports 802.11 b/g/n, Wi-Fi Direct (P2P), Soft-AP mode, and full TCP/IP protocol stack. Integrated TR switch, balun, power amplifier, LNA, PLLs, regulators, and 32-bit CPU. +19.5 dBm output power for strong wireless range. Breakout pins available for programming or full I/O access of WROOM-02. Includes optional microSD slot for data logging and local storage. Each shield is fully assembled and tested before shipping.

7Semi BME688 Environmental Sensor Breakout with Gas, Temperature, Humidity & Pressure Monitoring The 7Semi BME688 Environmental Sensor Breakout is a next-generation module designed for creators, engineers, and researchers looking to capture highly accurate environmental data in one compact board. Built using Bosch Sensortec’s advanced technology, it measures temperature, humidity, barometric pressure, and a wide range of gases - including VOCs, VSCs, CO, and hydrogen. With AI-enabled gas scanning, this sensor offers unmatched flexibility and precision, making it ideal for air quality monitoring, IoT devices, and smart home automation. This tiny board brings premium reliability, fast response times, and long-term stability to any embedded setup. Thanks to support for both I2C and SPI interfaces, the BME688 integrates easily with platforms like Arduino, ESP32, and Raspberry Pi. Whether you’re building an indoor air quality tracker, creating a wearable environmental sensor, or developing research-grade monitoring equipment, this module delivers the depth of data you need. With intelligent gas detection powered by machine learning and a wide operating range, the BME688 excels in environmental sensing, embedded electronics, and modern IoT applications without adding bulk or complexity. Features: Delivers 4-in-1 sensing capabilities with precise measurement of temperature, humidity, atmospheric pressure, and multiple gases in a single compact module. Features AI-enabled gas scanning that detects VOCs, VSCs, carbon monoxide, hydrogen, and other gases using machine-learning-based profiling. Provides high accuracy, low drift, and rapid response speeds for dependable long-term environmental monitoring. Offers flexible integration with both I2C and SPI interfaces for seamless compatibility across microcontrollers and embedded systems. Compact, lightweight design makes it suitable for portable devices, IoT deployments, smart home systems, and environmental research setups. Allows custom tuning of sampling rates, power consumption, and gas sensitivity for specialised applications. Backed by Bosch Sensortec’s reputation for durability, ensuring stability and reliable performance in continuous operation. BME688 4-in-1 Air Quality Sensor Breakout Dimensions: BME688 4-in-1 Air Quality Sensor Breakout Pinouts:

BNO085 9-DOF Orientation IMU Sensor Fusion Nano Breakout Board The BNO085 9-DOF Orientation IMU Sensor Fusion Nano Breakout Board is a powerful and compact motion-sensing solution designed for precise orientation and movement tracking. This BNO085 IMU Sensor combines a 3-axis accelerometer, gyroscope, and magnetometer with an advanced onboard sensor fusion engine that processes raw data into accurate orientation outputs in real time. By handling sensor fusion internally, it reduces processing load on the host microcontroller while delivering reliable heading, rotation, and motion data. With support for I2C and SPI interfaces, the board integrates easily into robotics, VR/AR devices, drones, and IoT systems that demand responsive and accurate motion feedback. Features: Advanced Sensor Fusion: 9-axis integration provides exact data outputs such as acceleration, angular velocity, and magnetic field strength. Low Power use: The ARM Cortex M0+ processor has been optimized for efficient energy use in portable devices. Versatile Compatibility: Backward compatible with BNO080, providing increased dependability through SPI compatibility fixes. Comprehensive Data Reporting: Supports a wide range of calibrated, uncalibrated, and raw data reporting. Enhanced Detection and Classification: Includes stability detection, motion detection, activity classification, and unique AR/VR rotation vectors. Developer-Friendly Interface: I2C interface allows for easy integration with numerous device designs.

SmartElex RedBot - Line Follower Sensor The SmartElex RedBot Line Follower Sensor is an easy-to-use infrared line tracking sensor designed to detect contrasting lines on the floor for robot navigation. It helps users build robots that can follow black or white track lines by sensing reflected infrared light, making it ideal for students, hobbyists, educators, and beginners in robotics. This line follower sensor removes the complexity of designing a tracking circuit from scratch, making it a practical choice for classroom learning, STEM competitions, and project-based exploration. This IR sensor line follower is commonly used in DIY robots, autonomous navigation systems, automation prototypes, and line-following competitions where reliable tracking is essential. It works smoothly with Arduino, Raspberry Pi, ESP32, and other microcontroller platforms, allowing easy integration and quick setup in existing projects. With stable performance and intuitive operation, the SmartElex RedBot Line Follower Sensor is well suited for prototyping, educational labs, and robotics builds requiring precise line tracking and direction control. Features: Infrared-based line detection for accurate track following Detects black or white line contrast for smooth navigation Simple design for beginner-friendly robotics and STEM projects Compatible with Arduino, Raspberry Pi, ESP32, and other controllers Compact module for easy mounting on small robot chassis Ideal for DIY robots, automation prototypes, and line-following competitions

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

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

SCD40 I2C CO Temperature & Humidity Sensor Breakout Module - 7Semi The 7Semi SCD40 is a compact sensor breakout based on Sensirion’s advanced photoacoustic NDIR technology. It accurately measures CO concentration from 400 ppm to 40,000 ppm, along with ambient temperature and humidity. Ideal for air quality monitoring, HVAC systems, and IoT applications. It communicates over the I²C interface and is compatible with most microcontrollers. With low power consumption, long-term stability, and minimal recalibration requirements, the SCD40 is well-suited for portable and embedded systems requiring reliable environmental data. Features Photoacoustic CO Sensing: Uses advanced photoacoustic infrared technology for high-precision CO measurement. 3-in-1 Environmental Monitoring: Simultaneously tracks CO levels, temperature, and humidity for a complete atmospheric overview. Wide CO Detection Range: Measures concentrations from 400 ppm to 40,000 ppm, with optimal accuracy in the 400–2000 ppm range. High Accuracy: Offers a precision of ±(40 ppm + 5%), making it ideal for critical monitoring applications. Low Power Consumption: Consumes only 17 mA at 5s intervals and 0.5 mA at 5-minute intervals, perfect for battery-powered projects. Plug-and-Play Ready: Factory-calibrated and ready for immediate use—no manual calibration required. I2C Interface: Compatible with Arduino, Raspberry Pi, ESP32, STM32, and other popular microcontrollers via I2C. Compact Design: Small, robust module fits easily into embedded systems and space-limited enclosures. SCD40 carbon dioxide sensor Breakout I2C Arduino Connections

7Semi SGP41 VOC Sensor Breakout Board for Indoor Air Quality Monitoring The 7Semi SGP41 VOC Sensor Breakout Board is a compact and reliable solution for monitoring indoor air quality with high precision. Built around Sensirion’s advanced SGP41 sensing technology, this VOC Sensor accurately detects volatile organic compounds, helping assess air freshness and pollution levels in real time. Operating at an exact 3.3V and communicating via an I2C interface, it integrates smoothly with popular microcontrollers and development boards. The onboard Qwiic connector simplifies wiring, making this air quality VOC sensor ideal for applications such as air purifiers, HVAC systems, smart buildings, and long-term environmental monitoring where accuracy and stability matter. Leverage the power of the SGP41 to create innovative air quality solutions. Whether you're developing air purifiers, ventilation systems, or environmental monitoring devices, this sensor breakout is your essential component. Features: Sensirion SGP40 Sensor: Provides accurate VOC and NOx detection for better air quality assessments. The Digital I2C Interface simplifies communication and integration with your system. Robust Construction: Designed to endure real-world situations while maintaining long-term stability. Compact design is ideal for applications that require limited space. Easy integration: Solderable headers allow for a simple connection.

SmartElex AM312 PIR Motion Sensor The SmartElex AM312 PIR Motion Sensor is a compact passive infrared sensor designed to detect human motion by sensing changes in infrared radiation. It helps automate systems by triggering actions only when movement is detected, making projects more energy efficient and responsive. This sensor is well suited for students, makers, engineers, educators, and startups who are working on electronics projects that require reliable motion detection in a small, low-power form factor. This PIR motion sensor is ideal for robotics, IoT devices, security systems, and automation projects, especially where battery-powered operation is important. It can be easily interfaced with popular development platforms such as Arduino, Raspberry Pi, and ESP32, allowing quick integration into prototypes and functional systems. Common applications include motion-activated lighting, smart alarms, occupancy detection, and low-power IoT monitoring solutions, where stable performance and simple integration are essential. Features: Compact PIR sensor for reliable human motion detection Detects movement using changes in infrared radiation Ultra-low power consumption suitable for battery-powered projects Digital output for easy interfacing with microcontrollers Fast response time for real-time motion detection Compatible with Arduino, Raspberry Pi, ESP32, and similar boards

Holybro PMW3901 Optical Flow Sensor The Holybro PMW3901 Optical Flow Sensor is a precision navigation module designed to improve low-altitude positioning and flight stability in drones and robotic systems. By analyzing patterns on the ground surface, this optical flow sensor provides real-time movement data that enhances hovering accuracy, smooth trajectory control, and overall flight performance. Compact and lightweight, it integrates seamlessly with popular flight controllers, making it an essential tool for advanced UAV builds and autonomous navigation projects. Ideal for applications where GPS alone isn’t enough, the Holybro PMW3901 Optical Flow Sensor offers reliable visual motion tracking in indoor environments or GPS-denied areas. Whether you’re developing intelligent drones, automated robots, or custom positioning systems, this sensor delivers responsive feedback that boosts control precision, reduces drift, and enhances the responsiveness of your aerial or ground platform. Compatible with PX4 ( PX4 Guide ) & Ardupilot (Data format same as discontinued product CX-OF ). Features: High-precision optical flow sensor designed to improve low-altitude position holding and flight stability. Provides real-time ground motion data for smoother hovering and accurate movement tracking. Enhances performance in indoor or GPS-denied environments where satellite positioning is unreliable. Compact and lightweight design allows easy integration with drone flight controllers and robotics systems. Improves drift correction and responsiveness during slow and precise movements. Ideal for drones, autonomous robots, and advanced navigation applications.

7Semi BME280 Temperature, Humidity & Pressure Sensor Nano Breakout The 7Semi BME280 Nano Breakout is a compact and highly reliable environmental sensing module designed for projects that require accurate temperature, humidity, and barometric pressure readings. Powered by Bosch’s trusted BME280 sensor, it delivers precise data with ±1.0°C temperature accuracy, ±3% humidity accuracy, and ±1 hPa pressure accuracy. With its 2.54mm pitch header and I2C interface, this breakout integrates effortlessly into Arduino, Raspberry Pi, and other embedded systems, making it perfect for weather stations, smart home setups, and environmental monitoring projects. Its small footprint and robust construction make it suitable for space-constrained applications without compromising performance. Whether you're building a DIY weather dashboard, automating a greenhouse, or working on an IoT environmental sensor node, the BME280 ensures fast, stable, and reliable readings. This sensor is also capable of altitude measurement, bringing added versatility to drones, outdoor devices, and scientific experiments. Features: Provides highly accurate temperature, humidity, and barometric pressure measurements using the Bosch BME280 sensor. Supports I2C communication and operates at 3.3V, ensuring simple wiring and compatibility with common microcontrollers. Compact nano breakout design with a 2.54mm pitch header, making it ideal for breadboard and prototype-friendly builds. Offers dependable performance with ±1.0°C temperature accuracy, ±3% humidity accuracy, and ±1 hPa pressure accuracy. Functions as an altimeter with ±1 meter accuracy, adding enhanced functionality for robotics and outdoor applications. Built with a durable and reliable layout, ensuring long-term stability in environmental and scientific projects. Suitable for weather monitoring, smart home automation, agriculture, greenhouse tracking, and IoT systems.

7Semi BMP585 I2C Pressure Sensor Breakout Module The 7Semi BMP585 I2C Pressure Sensor Breakout Module is a high-precision sensor designed to measure atmospheric pressure with exceptional accuracy, covering a range of 300–1250 hPa. This BMP585 Pressure Sensor combines low power consumption with compact design, making it perfect for mobile devices, battery-powered systems, and IoT projects. With both I2C and SPI interface support, it can be easily integrated into various electronics projects, enabling applications such as altimetry, weather monitoring, indoor navigation, and environmental sensing. Its reliable performance ensures accurate readings in real-time, making it an essential component for makers and engineers seeking precise pressure measurement. Features: Exceptional pressure sensing resolution at 1/64 Pa and accuracy of ±0.5 hPa provide highly precise data. Wide Pressure and Temperature Range: Measures pressure from 30 to 125 kPa and temperature from -40°C to 85°C, ensuring versatility in a variety of applications. Flexible Data Communication: Compatible with both I2C (up to 1MHz) and SPI (up to 12MHz) protocols, allowing enabling easy integration into a variety of systems. Programmable features include variable oversampling, a FIFO buffer (stores up to 32 samples), low-pass filtering, and 6 bytes of user-programmable non-volatile memory. Energy-Efficient Operation: Provides five operational modes with minimal power usage (1.5µA in Deep Standby and 260µA peak during measurements). Compact Design: A small breakout board with pin spacing of 0.1" allows for simple soldering and connecting.