The Mr. Pulsar Violent Turbo Fan X3 Pro delivers powerful airflow with its impressive 140,000 RPM motor, offering exceptional performance in a compact, portable design. Featuring an 8,000 mAh battery for extended wireless operation, adjustable airflow speeds, and weighing just 277 grams, it's perfect for quick tasks like computer cleaning, drying pets, inflating air mattresses, removing dust, or even blowing snow from your car. Specifications Motor speed 140,000 RPM Battery 8,000 mAh Lithium battery Dimensions 160 x 60 x 90 mm Weight 277 g Included 1x Mr. Pulsar Violent Turbo Fan X3 Pro 1x Short nozzle 1x Storage bag 1x USB-C cable

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The SparkFun Thing Plus Matter is the first easily accessible board of its kind that combines Matter and SparkFun’s Qwiic ecosystem for agile development and prototyping of Matter-based IoT devices. The MGM240P wireless module from Silicon Labs provides secure connectivity for both 802.15.4 with Mesh communication (Thread) and Bluetooth Low Energy 5.3 protocols. The module comes ready for integration into Silicon Labs' Matter IoT protocol for home automation. What is Matter? Simply put, Matter allows for consistent operation between smart home devices and IoT platforms without an Internet connection, even from different providers. In doing so, Matter is able to communicate between major IoT ecosystems in order to create a single wireless protocol that is easy, reliable, and secure to use. The Thing Plus Matter (MGM240P) includes Qwiic and LiPo battery connectors, and multiple GPIO pins capable of complete multiplexing through software. The board also features the MCP73831 single-cell LiPo charger as well as the MAX17048 fuel gauge to charge and monitor a connected battery. Lastly, a µSD card slot for any external memory needs is integrated. The MGM240P wireless module is built around the EFR32MG24 Wireless SoC with a 32-bit ARM Cortext-M33 core processor running at 39 MHz with 1536 kb Flash memory and 256 kb RAM. The MGM240P works with common 802.15.4 wireless protocols (Matter, ZigBee, and OpenThread) as well as Bluetooth Low Energy 5.3. The MGM240P supports Silicon Labs' Secure Vault for Thread applications. Specifications MGM240P Wireless Module Built around the EFR32MG24 Wireless SoC 32-bit ARM-M33 Core Processor (@ 39 MHz) 1536 kB Flash Memory 256 kB RAM Supports Multiple 802.15.4 Wireless Protocols (ZigBee and OpenThread) Bluetooth Low Energy 5.3 Matter-ready Secure Vault Support Built-in Antenna Thing Plus Form-Factor (Feather-compatible): Dimensions: 5.8 x 2.3 cm (2.30 x 0.9') 2 Mounting Holes: 4-40 screw compatible 21 GPIO PTH Breakouts All pins have complete multiplexing capability through software SPI, I²C and UART interfaces mapped by default to labeled pins 13 GPIO (6 labeled as Analog, 7 labeled for GPIO) All function as either GPIO or Analog Built-in-Digital to Analog Converter (DAC) USB-C Connector 2-Pin JST LiPo Battery Connector for a LiPo Battery (not included) 4-Pin JST Qwiic Connector MC73831 Single-Cell LiPo Charger Configurable charge rate (500 mA Default, 100 mA Alternate) MAX17048 Single-Cell LiPo Fuel Gauge µSD Card Slot Low Power Consumption (15 µA when MGM240P is in Low Power Mode) LEDs: PWR – Red Power LED CHG – Yellow battery charging status LED STAT – Blue status LED Reset Button: Physical push-button Reset signal can be tied to A0 to enable use as a peripheral device Downloads Schematic Eagle Files Board Dimensions Hookup Guide Datasheet (MGM240P) Fritzing Part Thing+ Comparison Guide Qwiic Info Page GitHub Hardware Repo

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Bluno is the first of its kind in integrating Bluetooth 4.0 (BLE) module into Arduino Uno, making it an ideal prototyping platform for both software and hardware developers to go BLE. You will be able to develop your own smart bracelet, smart pedometer, and more. Through the low-power Bluetooth 4.0 technology, real-time low energy communication can be made really easy. Bluno integrates a TI CC2540 BT 4.0 chip with the Arduino UNno. It allows wireless programming via BLE, supports Bluetooth HID, AT command to config BLE and you can upgrade BLE firmware easily. Bluno is also compatible with all 'Arduino Uno' pins which means any project made with Uno can directly go wireless! Specifications On-board BLE chip: TI CC2540 Wireless Programming via BLE Support Bluetooth HID Support AT command to config the BLE Transparent communication through Serial Upgrade BLE firmware easily DC Supply: USB Powered or External 7~12 V DC Microcontroller: Atmega328 Bootloader: Arduino Uno ( disconnect any BLE device before uploading a new sketch ) Compatible with the Arduino Uno pin mapping Size: 60 x 53 mm(2.36 x 2.08') Weight: 30 g

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This is a long-wave IR thermal imaging camera that adopts the hybrid technology of microbolometer and thermopile pixel, features 80x62 array pixels. It will detect the IR1 distribution of objects in the field of view, turn the data into surface temperature of the objects by calculation, and then generate thermal images, for easy integration into miscellaneous industrial or intelligent control applications. Features Adopts the hybrid technology of microbolometer and thermopile, 80x62 array pixels Continuous operation and thermal imaging video stream due to shutterless design Noise Equivalent Temperature Difference (NETD) 150mK RMS@1 Hz refresh rate Up to 25 fps (Max) thermal imaging video stream output Comes with online resources and manuals (Python demo for Raspberry Pi, Android/Windows host computer and user manual, etc.) Applications High precision long-term non-contact temperature online monitoring IR thermal imaging devices, IR thermometers Smart home, intelligent building, intelligent lighting Industrial temperature control, security & safety, intrude/motion detection Small Target Thermal Analysis, Heat Trend Analysis and Solutions Specifications Power supply 5 V Operating current 61 mA@5 V Wavelength range 8~14 μm Operating temperature -20~85°C Target temperature -20~400°C Refresh rate 25 fps (Max) FOV 45° x 45° (H x V) Noise equivalentTemperature diffenerence 150 mK Measuring accuracy ±2°C (ambient temp. 10~70°C) Dimensions 65.0 x 30.5 mm Included 1x Thermal Camera HAT 1x 40-pin female header 1x FPC 15-pin cable 0.3 mm pitch (100 mm) 1x Screws pack Downloads Wiki

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Take control of your smart environment with the compact and powerful 4-inch ESP32-S3 IPS Touchscreen Control Panel. Designed for high performance and versatility, this sleek 86-box format panel integrates advanced connectivity, intuitive touch control, and real-time environmental sensing. Features Powerful Core Module WT32-S3-WROVER-N16R8 4-inch IPS full-screen display Resolution: 480 x 480 pixels (RGB565 format) Screen Driver IC: GC9503V Touch Controller IC: FT6336U Equipped with an SHT20 Temperature and Humidity Sensor for real-time monitoring of environmental conditions. RS485 Interface using an automatic transceiver circuit Built-in WiFi and Bluetooth Applications Smart Home Control Panels Industrial Automation Interfaces Environmental Monitoring Systems IoT Projects and Custom Smart Solutions

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Features Supports NMEA and U-Blox 6 protocols. Low power consumption Baud rates configurable Grove UART interface Specifications Dimensions 40 mm x 20 mm x 13 mm Update Rate 1 Hz, max 10 Hz Baud Rate 9,600 – 115,200 Input Voltage 3.3 V / 5 V Navigation Sensitivity -160dBm Power Requirements 3.3/5V Number of Channels 22 tracking, 66 channels Time to first start Cold start: 13s Warm start: 1-2s Hot start: < 1s Antennas Antenna included Accuracy 2.5m GPS Horizontal Position Accuracy

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The ZED-F9R module is a 184-channel u-blox F9 engine GNSS receiver, meaning it can receive signals from the GPS, GLONASS, Galileo, and BeiDou constellations with ~0.2-meter accuracy! That's right; such accuracy can be achieved with an RTK navigation solution when used with a correction source. Note that the ZED-F9R can only operate as a rover, so you will need to connect to a base station. The module supports the concurrent reception of four GNSS systems. The combination of GNSS and integrated 3D sensor measurements on the ZED-F9R provide accurate, real-time positioning rates of up to 30Hz. Compared to other GPS modules, this pHAT maximizes position accuracy in dense cities or covered areas. Even under poor signal conditions, continuous positioning is provided in urban environments and is also available during complete signal loss (e.g. short tunnels and parking garages). The ZED-F9R is the ultimate solution for autonomous robotic applications that require accurate positioning under challenging conditions. This u-blox receiver supports a few serial protocols. By default, we chose to use the Raspberry Pi's serial UART to communicate with the module. With pre-soldered headers, no soldering is required to stack the pHAT on a Raspberry Pi, NVIDIA Jetson Nano, Google Coral, or any single-board computer with the 2x20 form factor. We have also broken out a few 0.1'-spaced pins from the u-blox receiver. A Qwiic connector is also added in case you need to connect a Qwiic enabled device. U-blox based GPS products are configurable using the popular but dense, windows program called u-centre. Plenty of different functions can be configured on the ZED-F9R: baud rates, update rates, geofencing, spoofing detection, external interrupts, SBAS/D-GPS, etc. The SparkFun ZED-F9R GPS pHAT is also equipped with an on-board rechargeable battery that provides power to the RTC on the ZED-F9R. This reduces the time-to-first fix from a cold start (~24s) to a hot start (~2s). The battery will maintain RTC and GNSS orbit data without being connected to power for plenty of time. Features 1 x Qwiic Connector Integrated U.FL connector for use with an antenna of your choice Concurrent reception of GPS, GLONASS, Galileo and BeiDou 184-Channel GNSS Receiver Receives both L1C/A and L2C bands Horizontal Position Accuracy: 0.20 m with RTK Max Navigation Rate: Up to 30Hz Time to First Fix Cold: 24 s Hot: 2 s Operational Limits Max G: ≤4 G Max Altitude: 50 km Max Velocity: 500 m/s Velocity Accuracy: 0.5 m/s Heading Accuracy: 0.2 degrees Built-In Accelerometer and Gyroscope Time Pulse Accuracy: 30ns Voltage: 5 V or 3.3 V, but all logic is 3.3 V Current: ~85mA to ~130mA (varies with constellations and tracking state) Software Configurable Geofencing Odometer Spoofing Detection External Interrupt Pin Control Low Power Mode Supports NMEA, UBX, and RTCM protocols over UART

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The Raspberry Pi AI HAT+ is an expansion board designed for the Raspberry Pi 5, featuring an integrated Hailo AI accelerator. This add-on offers a cost-effective, efficient, and accessible approach to incorporating high-performance AI capabilities, with applications spanning process control, security, home automation, and robotics. Available in models offering 13 or 26 tera-operations per second (TOPS), the AI HAT+ is based on the Hailo-8L and Hailo-8 neural network accelerators. This 13 TOPS model efficiently supports neural networks for tasks like object detection, semantic and instance segmentation, pose estimation, and more. The 26 TOPS variant accommodates larger networks, enables faster processing, and is optimized for running multiple networks simultaneously. The AI HAT+ connects via the Raspberry Pi 5’s PCIe Gen3 interface. When the Raspberry Pi 5 is running a current version of the Raspberry Pi OS, it automatically detects the onboard Hailo accelerator, making the neural processing unit (NPU) available for AI tasks. Additionally, the rpicam-apps camera applications included in Raspberry Pi OS seamlessly support the AI module, automatically using the NPU for compatible post-processing functions. Included Raspberry Pi AI HAT+ (13 TOPS) Mounting hardware kit (spacers, screws) 16 mm GPIO stacking header Downloads Datasheet

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YDLIDAR X4PRO is a 360 degrees two-dimensional rangefinder. Based on the principle of triangulation, it is equipped with related optics, electricity, and algorithm design to achieve high-frequency and high- accuracy distance measurement. The mechanical structure rotates 360 degrees to continuously output the angle information as well as the point cloud data of the scanning environment while ranging. Features 360 degrees omnidirectional scanning ranging distance measurement Small distance error, stable performance and high accuracy Wide ranging distance Strong resistance to ambient light interference Low power consumption, small size and long service life Laser power meets Class I laser safety standards Adjustable motor speed, scanning frequency is 6~12 Hz High-speed ranging, ranging frequency up to 5 kHz Applications Robot navigation and obstacle avoidance Robot ROS teaching and research Regional security Environmental scanning and 3D reconstruction Navigation and obstacle avoidance of robot vacuum cleaner/ROS Learning robot Specifications Range Frequency 5000 Hz Scan Frequency 6-12 Hz Range Distance 0.12 10 m Scan Angle 360° Angle Resolution 0.43-0.85° Dimensions 110.6 x 71.1 x 52.3 mm Downloads Datasheet User Manual Development Manual SDK Tool ROS

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The Waveshare PCIe to Gigabit Ethernet and USB 3.2 Gen 1 HAT+ is an expansion board designed specifically for the Raspberry Pi 5. It enhances the Raspberry Pi's connectivity by adding three high-speed USB 3.2 Gen 1 ports and a Gigabit Ethernet port, all in a driver-free, plug-and-play setup. Features Based on 16-pin PCIe Interface of Raspberry Pi 5 Equipped with RTL8153B high-performance Gigabit Ethernet chip Supports Raspberry Pi OS, Ubuntu, OpenWRT, etc. Stable and reliable network speed Real-time monitoring of power status Supports USB port power control via software Included 1x PCIe to Gigabit Ethernet USB 3.2 HAT+ 1x Network cable (1.5 m) 1x 16P Cable (40 mm) 1x Standoff pack Downloads Wiki

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Free up your hands and secure and protect your soldering projects with Weller's Helping Hands with 4 Magnetic Arms. Enjoy adjustable and flexible positions with magnetic gooseneck arms with alligator clamps that are easily positionable for multiple configurations. Applications Hobby Home repair Drone Audio repair Joining wires Engraving Jewelry making Electronics Specifications Dimensions (Base) 152 x 229 mm (6 x 9') Length (Arms) 2 arms: 216 mm (8.5')2 arms: 317 mm (12.5')

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The ThingPulse Pendrive S3 is an ESP32-S3 device with USB-C plug, WS2812B RGB LED and 128 MB of flash. With the help of TinyUSB the ESP32-S3 can pretend to be many USB devices, such as: USB Memory Stick USB Keyboard USB Mouse Audio device Video device Networking device Applications As BadUSB Device with SuperWiFiDuck it can do KeyStroke injections As WiFiDisk it can be mounted by any regular computer like a memory stick and synchronize the files on the disk to the cloud As WiFiDongle it can add an additional WiFi networking device to any computer/phone Included ESP32-S3 PCB with WS2812B RGB Led Capacitive Touch Button (Spring) USB Drive Plastic Enclosure Downloads CircuitPython

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YDLIDAR TG30 is a 360 degrees 2D LiDAR. Based on the principle of ToF, it is equipped with related optics, electricity, and algorithm design to achieve high-frequency and high-precision distance measurement. The mechanical structure rotates 360 degrees to continuously obtain the angle information and output the point cloud data of the scanning environment while ranging. Features IP65 protection level 360 degrees omnidirectional scanning and 5-12 Hz frequency Ranging frequency up to 20 kHz High accuracy, stable performance Strong resistance to ambient light interference Class I eye safety Specifications Range Frequency 20000 Hz Scan Frequency 5-12 Hz Range Distance 0.05-30 m Scan Angle 360° Angle resolution 0.09°-0.22° Size Φ 75.8 x 34.7 mm Applications Robot navigation and obstacle avoidance Industrial automation Regional security Smart transportation Environmental scanning and 3D reconstruction Digital multimedia interaction Robot ROS teaching and research Downloads Datasheet User manual Development manual

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Learn the basics of electronics by assembling manually your Arduino Uno, become familiar with soldering by mounting every single component, and then unleash your creativity with the only kit that becomes a synth! The Arduino Make-Your-Uno kit is really the best way to learn how to solder. And when you are done, the packaging allows you to build a synth and make your music. A kit with all the components to build your very own Arduino Uno and audio synthesizer shield. The Make-Your-Uno kit comes with a complete set of instructions in a dedicated content platform. This includes video material, a 3D interactive viewer for following detailed instructions, and how to program your board once it is finished. This kit contains: Arduino Make-Your-Uno 1x Make-Your-Uno PCB 1x USB C Serial adapter Board 7x Resistors 1k Ohm 2x Resistors 10k Ohm 2x Resistors 1M Ohm 1x Diode (1N4007) 1x 16 MHz Crystal 4x Yellow LEDs 1x Green LED 1x Push-Button 1x MOSFET 1x LDO (3.3 V) 1x LDO (5 V) 3x Ceramic capacitors (22pF) 3x Electrolytic capacitors (47uF) 7x Polyester capacitors (100nF) 1x Socket for ATMega 328p 2x I/O Connectors 1x Connector header 6 pins 1x Barrel jack connector 1x ATmega 328p Microcontroller Arduino Audio Synth 1x Audio Synth PCB 1x Resistor 100k Ohm 1x Resistor 10 Ohm 1x Audio amplifier (LM386) 1x Ceramic capacitors (47nF) 1x Electrolytic capacitors (47uF) 1x Electrolytic capacitors (220uF) 1x Polyester capacitor (100nF) 4x connectors pin header 6x potentiometer 10k Ohm with plastic knobs Spare parts 2x Electrolytic capacitors (47uF) 2x Polyester capacitor (100nF) 2x Ceramic capacitors (22pF) 1x Push-Button 1x Yellow LEDs 1x Green LED Mechanical parts 5x Spacers 12 mm 11x Spacers 6 mm 5x screw nuts 2x screws 12 mm

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This PCIe 3.0 to dual M.2 HAT enables the Raspberry Pi 5 to access two NVMe SSDs, Hailo-8/8L (M.2 key B+M only), and Google Coral AI accelerators at PCIe 3.0 speeds. Features Dual M.2 Slots with PCIe 3.0 Speed: Utilizes the ASMedia ASM2806 PCIe 3.0 switch chip to ensure optimal performance, overcoming the limitations of PCIe 2.0. Stable Power Supply: Additional pogo pins provide extra power to ensure a stable high-speed connection. Multiple Size Support: Compatible with M.2 standard sizes 2230, 2242, 2260, and 2280. Back-mounted Design: Keeps the 40-pin GPIO free for use, allowing compatibility with other Raspberry Pi HATs. User-friendly Design: The S-shaped FPC cable does not obstruct the microSD card slot. Open Source Case: Seeed’s M.2 HATs are not compatible with the official Raspberry Pi case, but an adapted 3D-printable case (STP file) is provided. Applications Simultaneously supports AI acceleration and high-speed SSD storage Connects dual NVMe SSDs for large storage capacity Booting a Raspberry Pi from the SSD Specifications M.2 Slots 2 Max. PCIe Speed PCIe Gen3.0 PCIe Switch Chip ASM2806 M.2 Size Support 2280/2260/2242/2230 Max. Power Supply 5 V/3 A (max 3A: Pogo pin 2A + PCIe connector 1A) Cable FPC Assembly Method Back installation Dimensions 87 x 55 x 10 mm Included 1x Seeed Studio PCIe 3.0 to Dual M.2 HAT for Raspberry Pi 5 2x FPC cables (50 mm) 1x Screws & stud pack Downloads Wiki

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The CrowVision 7-inch Touch Screen is designed for all-in-one systems and offers an exceptional visual experience thanks to its high-resolution (1024×600) IPS panel. Its industrial-grade, rear-mounted metal design ensures compatibility with a wide range of single-board computers (SBCs), allowing for easy setup and seamless operation. Additionally, the display supports both landscape and portrait (vertical) screen orientations. The screen uses HDMI communication and features capacitive multi-touch technology. It also includes reserved interfaces and buttons for connecting accessories such as speakers, making it highly adaptable to diverse application scenarios. This plug-and-play device supports a wide range of popular SBCs like the Raspberry Pi 4/5, Jetson Nano, and more. It is fully compatible with multiple operating systems, including Raspbian, Ubuntu, Windows, Android, macOS, and Chrome OS. Users can customize the look of their screen by designing a unique and elegant protective case. For added convenience, Elecrow’s 3D printing service can be used to create a tailor-made enclosure. Thanks to its versatility, the screen is ideal for use in automation control systems, personal DIY projects, secondary or auxiliary displays, AV applications with SBCs, HDMI-compatible devices, game console extensions, and many other scenarios. Features 7-Inch High-Resolution Display: Features a 1024×600 IPS panel with a 178° wide viewing angle for a superior visual experience. Innovative Rear-Mounting Design: Equipped with a unique sliding pillar structure for secure mounting; compatible with most single-board computers and easy to assemble. Broad System Compatibility: Fully supports multiple operating systems including Raspbian, Ubuntu, Windows, Android, macOS, and Chrome OS. Multimedia and Touch Support: Offers plug-and-play functionality with support for audio, video, and capacitive multi-touch input. Comprehensive Peripheral Integration: Includes interfaces for peripherals such as speakers, headphones, keypads, and touchscreens, plus onboard OSD control buttons for easy adjustments. Integrated Power Output: The mainboard features a built-in 5 V/3 A power conversion module, eliminating the need for an external power supply for your SBC. Specifications Resolution 1024 x 600 pixels Color Depth 16 Million Colors (16M) Vertical Orientation Supported Viewing Angle 178° Ultra-Wide Viewing Angle Display Type IPS Panel Screen Technology TFT-LCD External Power Supply 12 V/2 A Digital Input HDMI-Compatible Interface Available Interfaces 1x Keypad Interface 1x 5 V Power Output 1x Mini HDMI Interface 1x Touch Interface 1x Speaker Interface 1x Headphone Socket 1x 12 V Power Input Supported Operating Systems Raspbian, Ubuntu, Windows, Android, macOS, Chrome OS, and others Active Display Area 99.9 x 167 mm Overall Dimensions 110.3 x 204 mm Weight 298 g Included 1x CrowVision 7" IPS Capacitive Touch Display (1024x600) 1x USB-A to USB-C cable 1x USB-A to Micro B cable 1x HD to Mini HD cable 1x Micro HD to Mini HD cable 1x Power Adapter (EU) 1x OSD Control Board 1x Screwdriver 2x Ribbon 1x Manual Downloads Manual Wiki 3D File

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The board's main processor is a low-power Arm® Cortex®-M0 32-bit SAMD21. The WiFi and Bluetooth® connectivity is performed with a module from u-blox, the NINA-W10, a low-power chipset operating in the 2.4GHz range. On top of that, secure communication is ensured through the Microchip® ECC608 crypto chip. Besides that, you can find a 6 axis IMU, which makes this board perfect for simple vibration alarm systems, pedometers, the relative positioning of robots, etc. WiFi and Arduino IoT Cloud You can get your board to connect to any kind of existing WiFi network, or use it to create your own Arduino Access Point. The specific set of examples we provide for the Nano 33 IoT can be consulted at the WiFiNINA library reference page. It is also possible to connect your board to different Cloud services, Arduino's own among others. Here are some examples of how to get the Arduino boards to connect to: Arduino's own IoT Cloud: Arduino's IoT Cloud is a simple and fast way to ensure secure communication for all of your connected Things. Check it out here. Blynk: a simple project from our community connecting to Blynk to operate your board from a phone with little code. IFTTT: see an in-depth case of building a smart plug connected to IFTTT. AWS IoT Core: we made this example on how to connect to Amazon Web Services. Azure: visit this GitHub repository explaining how to connect a temperature sensor to Azure's Cloud. Firebase: you want to connect to Google's Firebase, this Arduino library will show you how. Microcontroller SAMD21 Cortex®-M0+ 32bit low power ARM MCU Radio Module u-blox NINA-W102 Secure Element ATECC608A Operating Voltage 3.3 V Input Voltage 21 V Digital I/O Pins 14 PWM Pins 11 DC Current per I/O Pin 7 mA Analog Input Pins 8 Analog Output Pins 1 External Interrupts all digital pins UART 1 SPI 1 I2C 1 Flash Memory 256 KB SRAM 32 KB EEPROM none Clock Speed 48 MHz LED_Builtin 13 USB Native in the SAMD21 Processor IMU LSM6DS3 Length 45 mm Width 18 mm Weight 5 g

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The Hti HT-18+ is a professional thermal imaging camera designed for precise temperature measurements and real-time thermal imaging. It has an impressive infrared resolution of 256 x 192 pixels at a frame rate of 25 Hz, resulting in clear and detailed thermal images. The temperature measurement range extends from −20°C to +550°C, with a measurement accuracy of ±2°C or ±2%. The camera is equipped with a 3.2-inch color display for easy viewing of thermal images. It offers five different color palettes – rainbow, iron red, cold color, black and white and white and black – to adapt the display to different requirements. It also has a built-in memory of 4 GB for storing images and videos in JPG or MP4 format, which can be transferred to a computer via a USB connection. Specifications Infrared resolution 256 x 192 Infrared response band 8 to 14 μm Cell size 12 μm NETD ≤50 mK @ 25°C, @F/1.1 Lens focal length 3.2 mm IFOV 3.75 mrad Field angle 56° x 42° Focus mode Free focus Temperature measurement range −20°C~550°C (−4~1022°F) Measurement accuracy −15°C to 550°C (±2°C or ±2%)−20°C to −15°C (±4°C) Temperature measurement resolution 0.1°C Temperature measurement mode Center point/hot and cold spot tracking Color palette Rainbow, iron oxide red, cold color, black & white, white & black Emissivity setting Adjustable from 0.01 to 1.00 Thermal imaging frame rate ≤25 Hz Visible light resolution 640 x 480 Display size 3.2-inch (240 x 320) Image display mode Infrared/visible light/dual light fusion Device storage Built-in 4 GB eMMC (user available storage space is about 3 GB Storage Image/Video Format JPG/MP4 Image/video export method USB connection to computer export Image analysis function Support offline analysis on PC Battery Type Dedicated removable rechargeable Lithium battery Battery capacity 2200 mAh Working time 2 to 3 hours Power interface Micro USB Power configuration 5 minutes, 20 minutes, no automatic shutdown Working temperature −10°C to +50°C Relative humidity 10% to 85% RH (non-condensing) Menu languages English, German, Italian, Chinese Dimensions 90 x 105 x 223 mm Weight 389 g Included 1x Hti HT-18+ Thermal Imaging Camera 1x USB cable 1x Manual Downloads Manual

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The servo control is based on the SparkFun servo pHAT, and thanks to its I2C capabilities, this PWM add-on saves the Raspberry Pi's GPIO pins, allowing you to use them for other purposes. We have also provided a Qwiic connector for easy interfacing with the I²C bus using the Qwiic system. Whether you use the Auto pHAT with a Raspberry Pi, NVIDIA, Jetson Nano, Google Coral, or other SBC, it makes for a unique robotics addition and board with a 2x20 GPIO. The DC motor control comes from the same 4245 PSOC and 2-channel motor ports system used on the SparkFun Qwiic Motor Driver. This provides 1.2A steady-state drive per channel (1.5A peak) and 127 levels of DC drive strength. The SparkFun Auto pHAT also supports up to two motor encoders thanks to the onboard ATTINY84A to provide more precise movement to your creation! Additionally, the Auto pHAT has an on-board ICM-20948 9DOF IMU for all your motion-sensing needs. This enables your robot to access the 3-Axis Gyroscope with four selectable ranges, 3-Axis Accelerometer, again with four selectable ranges, and 3-axis magnetometer with an FSR of ±4900µT. Power to the SparkFun Auto pHAT can be supplied through a USB-C connector or external power. This will power either the motors only or power the motors and the Raspberry Pi that is connected to the HAT. We've even added power protection circuits to the design to avoid damage to power sources. Features 4245 PSOC and 2-channel motor ports programmable using Qwiic library Onboard ATTINY84A supports up to two DC motor encoders 5V pass-through from RPi Onboard ICM-20948 9DOF IMU for motion sensing accessible via Qwiic library PWM control for up to four servos Qwiic connector for expansion to full SparkFun Qwiic ecosystem Designed for stacking, full header support & can use additional pHATs on top of it Uninhibited access to the RPi camera connector & display connector. USB-C for powering 5V rail (Motors/Servos/back powering Pi) External power inputs broken out to PTH headers

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If you’re looking for a simple way to start soldering or just want to make your own Dasduino, this soldering set is a great opportunity. "Make your own Dasduino CORE" is an educational set for learning the skill of soldering, with which you end up with a functional microcontroller board. As with the other SMD versions of the Dasduino CORE boards we offer, the possibilities are endless. It is based on the ATmega328P microcontroller, and all SMD components are already soldered on the board. The set also includes a THT socket for the microcontroller, which simplifies the replacement of the microcontroller should it ever become necessary. Included 1x PCB 7x Capacitors (100nF) 4x Capacitors (2.2uF) 2x Capacitors (22pF) 5x Resistors (2.2 kOhm) 5x Resistors (10 kOhm) 3x Resistors (1 kOhm) 1x Resistor (100 kOhm) 1x Resistor (100 ohm) 1x JST battery connector 1x LED (purple) 1x LED (white) 1x LED (blue) 1x LED (red) 1x LED (orange) 1x Socket for ATmega328P 1x ATmega328P microcontroller

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This IPS 7.9-inch HDMI touch display with 400 x 1280 resolution, 170° wide viewing angle and built-in ferrite Hi-Fi speaker can be used as a secondary screen for chassis and also supports Raspberry Pi and Jetson Nano. Features 7.9-inch IPS display with a hardware resolution of 400 x 1280. Zinc alloy case, toughened glass panel with up to 6H hardness. When working as a computer monitor, it supports Windows without a driver. When working with Raspberry Pi, it supports Raspberry Pi OS / Ubuntu / Kali and Retropie, driver-free. When working with Jetson Nano, it supports Ubuntu, driver-free. Support backlight control for power saving. Support 5-point capacitive touch control. Specifications Display size 7.9" Viewing angle 170° Resolution 400 x 1280 pixels Display area 191.08 x 60.40 mm IPS version solor gamut 62% NTSC Max brightness 550 cd/m² Backlight adjustment Adjusted by the key/HID software Contrast 900:1 Color depth 16.7M Refresh rate 60 Hz Power port USB-C Display port HDMI interface Dimensions 211 x 73 x 20 mm Included 1x 7.9-inch Side Monitor 1x HDMI to Micro HDMI adapter 1x USB Type-A to Type-C cable (1 m) 1x HDMI flat cable (1 m) 2x Nonskid rubber feet Downloads Wiki

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The Ynvisible Segment E-Paper Displays are thin & flexible, sunlight readable, very easy to operate, and that they are the most energy-efficient display technology on the market for most applications. Get started today! Evaluate the ultra-low-power, thin and flexible Segment E-Paper Displays. The kit contains display designs and includes a manual display driver as well as a display driver with I²C interface. Display parameters White Reflectance 40% Contrast Ratio (Yb/Yd) 1:3 Angle Dependency No, lambertian Thickness 300 µm Graphical layout Segments Segment dimensions 1-100 mm Response time 100-1000 ms Power parameters Driving voltage 1.5 V Driving method Direct drive Energy consumption 1 mJ/cm^2 Pulse energy 0.25 mJ/cm^2 Image retention w/o power 1-5 minutes Operating conditions -20°C - +60°C Activations/Cycles 1.000.000 Included Ynvisible Segment Displays (‍Segmented e-paper displays with different layouts, shapes, and symbols, suitable for testing and evaluation.) 3 single-digit display 1 double-digit display 5 single-segment/icon displays 4 progress bars (7-segment and 3-segment) Manual Display Clicker (Manual display controller for ON/OFF operations) Display Driver and Software Library (Dedicated display driver with I²C communication interface. Compatible with Arduino and other easy-to-use development boards.) Flexible Display Adapter (‍For convenient connection of the flexible displays on a plastic substrate to rigid electronics (such as development boards), using a FFC/FPC connector.) Downloads Datasheet Guide & Instructions

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The Arduino Nano 33 BLE Sense Rev2 with headers is Arduino’s 3.3 V AI enabled board in the smallest available form factor with a set of sensors that will allow you without any external hardware to start programming your next project, right away. With the Arduino Nano 33 BLE Sense Rev2, you can: Build wearable devices that using AI can recognize movements. Build a room temperature monitoring device that can suggest or modify changes in the thermostat. Build a gesture or voice recognition device using the microphone or the gesture sensor together with the AI capabilities of the board. Differences between Rev1 and Rev2 Replacement of IMU from LSM9DS1 (9 axis) for a combination of two IMUs (BMI270 – 6 axis IMU and BMM150 – 3 axis IMU) Replacement of temperature and humidity sensor from HTS221 for HS3003 Replacement of microphone from MP34DT05 to MP34DT06JTR Replacement of power supply MPM3610 for MP2322 Addition of VUSB soldering jumper on the top side of the board New test point for USB, SWDIO and SWCLK Specifications Microcontroller nRF52840 (datasheet) Operating Voltage 3.3 V Input Voltage (limit) 21 V DC Current per I/O Pin 15 mA Clock Speed 64 MHz CPU Flash Memory 1 MB (nRF52840) SRAM 256 KB (nRF52840) EEPROM None Digital Input / Output Pins 14 PWM Pins All digital pins UART 1 SPI 1 I²C 1 Analog Input Pins 8 (ADC 12 bit 200 k samples) Analog Output Pins Only through PWM (no DAC) External Interrupts All digital pins LED_BUILTIN 13 USB Native in the nRF52840 Processor IMU BMI270 (datasheet) and BMM150 (datasheet) Microphone MP34DT06JTR (datasheet) Gesture, light, proximity, color APDS9960 (datasheet) Barometric pressure LPS22HB (datasheet) Temperature, humidity HS3003 (datasheet) Downloads Datasheet Schematics

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The board's main processor is a low-power ARM Cortex-M0 32-bit SAMD21, like in the other boards within the Arduino MKR family. The WiFi and Bluetooth connectivity is performed with a module from u-blox, the NINA-W10, a low-power chipset operating in the 2.4 GHz range. On top of that, secure communication is ensured through the Microchip ECC508 crypto chip. Besides that, you can find a battery charger, and an RGB LED on-board. Official Arduino WiFi Library You can get your board to connect to any kind of existing WiFi network, or use it to create your own Arduino Access Point. The specific set of examples we provide for the MKR WiFi 1010 can be consulted at the WiFiNINA library reference page. Compatible with other Cloud Services It is also possible to connect your board to different Cloud services, Arduino's own among others. Here are some examples of how to get the MKR WiFi 1010 to connect to: Blynk: a simple project from the Arduino community connecting to Blynk to operate your board from a phone with little code IFTTT: in-depth case of building a smart plug connected to IFTTT AWS IoT Core: Arduino made this example on how to connect to Amazon Web Services Azure: visit this GitHub repository explaining how to connect a temperature sensor to Azure's Cloud Firebase: you want to connect to Google's Firebase, this Arduino library will show you how Specifications Microcontroller SAMD21 Cortex-M0+ 32bit low power ARM MCU Radio Module u-blox NINA-W102 Power Supply 5 V Secure Element ATECC508 Supported Battery Li-Po Single Cell, 3.7 V, 1024 mAh Minimum Operating Voltage 3.3 V Digital I/O Pins 8 PWM Pins 13 UART 1 SPI 1 I2C 1 Analog Input Pins 7 Analog Output Pins 1 External Interrupts 10 Flash Memory 256 KB SRAM 32 KB EEPROM no Clock Speed 32.768 kHz, 48 MHz LED_Builtin 6 USB Full-Speed USB Device and embedded Host Length 61.5 mm Width 25 mm Weight 32 g

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