Features Selectable output format: Uart or Wiegand. 4Pins Electronic Brick Interface High Sensitivity Specifications Dimensions: 44 mm x 24 mm x9.6 mm Weight: 15 g Battery: Exclude Voltage: 4.75 V - 5.25 V Working Frequency: 125 kHz Sensing Distance(Max): 70 mm TTL Output: 9600 baud rate, 8 data bits, 1 stop bit, and no verify bit Wiegand Output: 26 bits Wiegand format, 1 even verify bit, 24 data bits, and 1 odd verify bit

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Ever wanted an automated house? Or a smart garden? The Arduino IoT Cloud compatible board Nicla Vision allows you to build your next smart project. You can connect devices, visualize data, control and share your projects from anywhere in the world. Nicla Vision combines a powerful STM32H747AII6 Dual ARM Cortex M7/M4 IC processor with a 2 MP color camera that supports TinyML, as well as a smart 6-axis motion sensor, integrated microphone and distance sensor. You can easily include it into any project because it’s designed to be compatible with all Arduino Portenta and MKR products, fully integrates with OpenMV, supports MicroPython and also offers both WiFi and Bluetooth Low Energy connectivity. It’s so compact – with its 22.86 x 22.86 mm form factor – it can physically fit into most scenarios, and requires so little energy it can be powered by battery for standalone applications. All of this makes Nicla Vision the ideal solution to develop or prototype with on-device image processing and machine vision at the edge, for asset tracking, object recognition, predictive maintenance and more – easier and faster than ever. Train it to spot details, so you can focus on the big picture. Automate anything Check every product is labeled before it leaves the production line; unlock doors only for authorized personnel, and only if they are wearing PPE correctly; use AI to train Nicla Vision to regularly check analog meters and beam readings to the Cloud; teach it to recognize thirsty crops and turn the irrigation on when needed.Anytime you need to act or make a decision depending on what you see, let Nicla Vision watch, decide and act for you. Feel seen Interact with kiosks with simple gestures, create immersive experiences, work with cobots at your side. Nicla Vision allows computers and smart devices to see you, recognize you, understand your movements and make your life easier, safer, more efficient, better. Keep an eye out Let Nicla Vision be your eyes: detecting animals on the other side of the farm, letting you answer your doorbell from the beach, constantly checking on the vibrations or wear of your industrial machinery. It’s your always-on, always precise lookout, anywhere you need it to be. Downloads Schematics Datasheet

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LuckFox Pico Mini is a compact Linux micro development board based on the Rockchip RV1103 chip, providing a simple and efficient development platform for developers. It supports a variety of interfaces, including MIPI CSI, GPIO, UART, SPI, I²C, USB, etc., which is convenient for quick development and debugging. Features Single-core ARM Cortex-A7 32-bit core with integrated NEON and FPU Built-in Rockchip self-developed 4th generation NPU, features high computing precision and supports int, int8, and int16 hybrid quantization. The computing power of int8 is 0.5 TOPS, and up to 1.0 TOPS with int4 Built-in self-developed third-generation ISP3.2, supports 4-Megapixel, with multiple image enhancement and correction algorithms such as HDR, WDR, multi-level noise reduction, etc. Features powerful encoding performance, supports intelligent encoding mode and adaptive stream saving according to the scene, saves more than 50% bit rate of the conventional CBR mode so that the images from camera are high-definition with smaller size, double the storage space Built-in RISC-V MCU supports low power consumption and fast start-up, supports 250 ms fast picture capture and loading Al model library at the same time to realize face recognition "in one second" Built-in 16-bit DRAM DDR2, which is capable of sustaining demanding memory bandwidths Integrated with built-in POR, audio codec and MAC PHY Specifications Processor ARM Cortex-A7, single-core 32-bit CPU, 1.2 GHz, with NEON and FPU NPU Rockchip 4th-gen NPU, supports int4, int8, int16; up to 1.0 TOPS (int4) ISP Third-gen ISP3.2, up to 4 MP input at 30fps, HDR, WDR, noise reduction RAM 64 MB DDR2 Storage 128 MB SPI NAND Flash USB USB 2.0 Host/Device via Type-C Camera Interface MIPI CSI 2-lane GPIO Pins 17 GPIO pins Power Consumption Low power, RISC-V MCU for fast startup Dimensions 28 x 21 mm Downloads Wiki

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Lo-Fi (ESP32 + LoRa combination) is the perfect solution for anyone looking to establish long-range wireless communication in a variety of applications with WiFi capabilities. LoRa offers exceptional range and easy connectivity, it allows you to seamlessly communicate with devices up to 5 km away. Devices provide an efficient and trustworthy choice for long-range wireless communication in addition to WiFi access to link internet clouds best suited for Internet of Things applications, enabling connectivity in remote and challenging settings. Features Device powered by powerful ESP32 S3 WROOM-1 which is having Xtensa dual-core 32-bit LX7 microprocessor, up to 240 MHz Inbuilt Wi-Fi & Bluetooth LE for wireless connectivity Type C interface for Programming/Power 1.14" TFT display for visual interactions GPIO breakouts for interfacing additional peripherals Breadboard compatible for easy DIY breadboarding projects 2 separate user programmable buttons along with Reset and Boot buttons 3.7 V Lithium Battery connector for a portable use case with an onboard charging option Use new generation LoRa spread spectrum to ensure stable communication For LoRa, faster speed and a longer data transmission range of up to 5 km Applications Internet of Things (IoT) Smart Home Automation Agricultural Automation Emergency Services Environmental Monitoring Industrial Automation Specifications Microcontroller: ESP32 S3 WROOM-1 Wireless Interface: WiFi, BLE, LoRa Protocol: 802.11b/g/n, Bluetooth 5.0 Memory Size: 16 MB Flash, 384 kB ROM, 8 MB SRAM Supply Voltage: 5 V Operating Voltage: 3.3 V Display Size: 1.14” Display Type: TFT Display resolution: 135 x 240 pixels Display driver: ST7789V Display Appearance: RGB Display color: 4k/65k/252k Display Luminance: 400 Cd/m² Operating Temperature: -20 to 70°C Storage Temperature: -30 to 80°C LoRa Module Specs: Carrier Frequency (License Free ISM): 868 MHz Chip: Based on SX1262 RF chip Range: 5Km Transmitting Power: 22 dBm Receiving Sensitivity: -147 dbm Data Rate: Up to 62.5 kbps Communication Port: UART serial Downloads Getting started guide Hardware design files Included 1x Lo-Fi Board 1x Antenna (868 MHz)

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World’s Most Popular ROS Platform TurtleBot is the most popular open source robot for education and research. The new generation TurtleBot3 is a small, low cost, fully programmable, ROS based mobile robot. It is intended to be used for education, research, hobby and product prototyping. Affordable Cost TurtleBot was developed to meet the cost-conscious needs of schools, laboratories and companies. TurtleBot3 is the most affordable robot among the SLAM-able mobile robots equipped with a 360° Laser Distance Sensor LDS-01. Small Size The dimension of TurtleBot3 Burger is only 138 x 178 x 192 mm (L x W x H). Its size is about 1/4 of the size of the predecessor. Imagine keeping TurtleBot3 in your backpack and develop your program and test it anywhere you go. ROS Standard The TurtleBot brand is managed by Open Robotics, which develops and maintains ROS. Nowadays, ROS has become the go-to platform for all the roboticists around the world. TurtleBot can be integrated with existing ROS-based robot components, but TurtleBot3 can be an affordable platform for whom want to get started learning ROS. Extensibility TurtleBot3 encourages users to customize its mechanical structure with some alternative options: open source embedded board (as a control board), computer and sensors. TurtleBot3 Burger is a two-wheeled differential drive type platform but it is able to be structurally and mechanically customized in many ways: Cars, Bikes, Trailers and so on. Extend your ideas beyond imagination with various SBC, sensors and motors on a scalable structure. Modular Actuator for Mobile Robot TurtleBot3 is able to get a precise spatial data by using 2 DYNAMIXEL’s in the wheel joints. DYNAMIXEL XM series can be operated by one of 6 operating modes (XL series: 4 operating modes): Velocity control mode for wheels, Torque control mode or Position control mode for joint, etc. DYNAMIXEL can be used even to make a mobile manipulator which is light but can be precisely controlled with velocity, torque and position control. DYNAMIXEL is a core component that makes TurtleBot3 perfect. It is easy to assemble, maintain, replace and reconfigure. Open Control Board for ROS The control board is open-sourced in hardware wise and in software wise for ROS communication. The open source control board OpenCR1.0 is powerful enough to control not only DYNAMIXEL’s but also ROBOTIS sensors that are frequently being used for basic recognition tasks in cost effective way. Various sensors such as Touch sensor, Infrared sensor, Color sensor and a handful more are available. The OpenCR1.0 has an IMU sensor inside the board so that it can enhance precise control for countless applications. The board has 3.3 V, 5 V, 12 V power supplies to reinforce the available computer device lineups. Strong Sensor Lineups TurtleBot3 Burger uses enhanced 360° LiDAR, 9-Axis Inertial Measurement Unit and precise encoder for your research and development. Open Source The hardware, firmware and software of TurtleBot3 are open source which means that users are welcomed to download, modify and share source codes. All components of TurtleBot3 are manufactured with injection molded plastic to achieve low cost, however, the 3D CAD data is also available for 3D printing. Specifications Maximum translational velocity 0.22 m/s Maximum rotational velocity 2.84 rad/s (162.72 deg/s) Maximum payload 15 kg Size (L x W x H) 138 x 178 x 192 mm Weight (+ SBC + Battery + Sensors) 1 kg Threshold of climbing 10 mm or lower Expected operating time 2h 30m Expected charging time 2h 30m SBC (Single Board Computers) Raspberry Pi 4 (2 GB RAM) MCU 32-bit ARM Cortex-M7 with FPU (216 MHz, 462 DMIPS) Actuator XL430-W250 LDS (Laser Distance Sensor) 360 Laser Distance Sensor LDS-01 or LDS-02 IMU Gyroscope 3 AxisAccelerometer 3 Axis Power connectors 3.3 V/800 mA5 V/4 A12 V/1 A Expansion pins GPIO 18 pinsArduino 32 pin Peripheral 3x UART, 1x CAN, 1x SPI, 1x I²C, 5x ADC, 4x 5-pin OLLO DYNAMIXEL ports 3x RS485, 3x TTL Audio Several programmable beep sequences Programmable LEDs 4x User LED Status LEDs 1x Board status LED1x Arduino LED1x Power LED Buttons and Switches 2x Push buttons, 1x Reset button, 2x Dip switch Battery Lithium polymer 11.1 V 1800 mAh / 19.98 Wh 5C PC connection USB Firmware upgrade via USB / via JTAG Power adapter (SMPS) Input: 100-240 VAC 50/60 Hz, 1.5 A @maxOutput: 12 VDC, 5 A Downloads ROS Robot Programming GitHub E-Manual Community

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The LuckFox Pico Ultra is a compact single-board computer (SBC) powered by the Rockchip RV1106G3 chipset, designed for AI processing, multimedia, and low-power embedded applications. It comes equipped with a built-in 1 TOPS NPU, making it ideal for edge AI workloads. With 256 MB RAM, 8 GB onboard eMMC storage, integrated WiFi, and support for the LuckFox PoE module, the board delivers both performance and versatility across a wide range of use cases. Running Linux, the LuckFox Pico Ultra supports a variety of interfaces – including MIPI CSI, RGB LCD, GPIO, UART, SPI, I²C, and USB – providing a simple and efficient development platform for applications in smart home, industrial control, and IoT. Specifications Chip Rockchip RV1106G3 Processor Cortex-A7 1.2 GHz Neural Network Processor (NPU) 1 TOPS, supports int4, int8, int16 Image Processor (ISP) Max input 5M @30fps Memory 256 MB DDR3L WiFi + Bluetooth 2.4GHz WiFi-6 Bluetooth 5.2/BLE Camera Interface MIPI CSI 2-lane DPI Interface RGB666 PoE Interface IEEE 802.3af PoE Speaker interface MX1.25 mm USB USB 2.0 Host/Device GPIO 30 GPIO pins Ethernet 10/100M Ethernet controller and embedded PHY Default Storage Medium eMMC (8 GB) Included 1x LuckFox Pico Ultra W 1x LuckFox PoE module 1x IPX 2.4G 2 db antenna 1x USB-A to USB-C cable 1x Screws pack Downloads Wiki

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The HT-M00 is a dual-channel gateway that is specifically designed to cater to smart family LoRa applications that work with less than 30 LoRa nodes. The gateway has been built around two SX1276 chips that are driven by ESP32. To enable monitoring of 125 KHz SF7~SF12 spreading factor, a software mixer has been developed, which is commonly referred to as a baseband simulation program. The software mixer is a critical component that enables the HT-M00 gateway to operate with high efficiency. It is designed to simulate baseband signals, which are then mixed with the radio frequency signals to produce the desired output. The software mixer has been developed with great care and precision, and has undergone rigorous testing to ensure that it is capable of delivering accurate and reliable results. Features ESP32 + SX1276 Emulates LoRa demodulators Automatic adaptive spread spectrum factor, SF7 to SF12 for each channel is optional Maximum output: 18 ±1dBm Support for LoRaWAN Class A, Class C protocol Specifications MCU ESP32-D0WDQ6 LoRa Chipset SX1276 LoRa Band 863~870 MHz Power Supply Voltage 5 V Receiving Sensitivity -110 dBm @ 300 bps Interface USB-C Max. TX Power 17dB ±1dB Operating Temperature −20~70°C Dimensions 30 x 76 x 14 mm Included 1x HT-M00 Dual Channel LoRa Gateway 1x Wall bracket 1x USB-C cable Downloads Manual Software Documentation

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The MKR IoT Carrier comes equipped with 5 RGB LEDs, 5 capacitive touch buttons, a colored display, IMU and a variety of quality sensors. It also features a battery holder for a 18650 Li-Ion battery, SD card holder and Grove connectors. Data Capture: Map the environment around the carrier using the integrated temperature, humidity, and pressure sensors and collect data about movement using the 6 axis IMU and light, gesture, and proximity sensors. Easily add more external sensors to capture more data from more sources via the on-board Grove connectors (x3). Data Storage: Capture and store all the data locally on an SD card, or connect to the Arduino IoT Cloud for real-time data capture, storage, and visualization. Data Visualisation: Locally view real-time sensor readings on the built-in OLED Color Display and create visual or sound prompts using the embedded LEDs and buzzer. Total Control: Directly control small-voltage electronic appliances using the onboard relays and the five tactile buttons, with the integrated display providing a handy on-device interface for immediate control.

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Pico Cube is a 4x4x4 LED cube HAT for Raspberry Pi Pico with 5 VDC operating voltage. Pico cube, a monochromatic Red with 64 LEDs, is a fun way to learn programming. It is designed to perform incandescent operations with low energy consumptions, robust outlook, and easy installation that make people/kids/users learn the effects of LED lights with a different pattern of colors via the combination of software and hardware i.e. Raspberry Pi Pico. Features Standard 40 Pins Raspberry Pi Pico Header GPIO Based Communication 64 High-Intensity Monochromatic LEDs Individual LED access Each Layer Access Specifications Operating Voltage: 5 V Color: Red Communication: GPIO LEDs: 64 Included 1x Pico Cube Base PCB 4x Layer PCB 8x Pillar PCB 2x Male Berg (1 x 20) 2x Female Berg (1 x 20) 70 LEDs Note: Raspberry Pi Pico is not included. Downloads GitHub Wiki

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The X500 V2 ARF Kit is an affordable, lightweight, and robust carbon fiber professional drone kit that is easy to assemble (less than 15 minutes). It comes with the X500 V2 Frame Kit and motors, ESCs, power distribution boards and propellers preinstalled. It is perfectly compatible with various flight controllers such as the Holybro Pixhawk series, Durandal, Pix32 V5, etc. There are numerous improvements compared the previous model. Specifications Wheelbase: 500 mm Motor mount pattern: 16x16 mm Frame body: 144x144 mm, 2 mm thick Landing gear height: 215 mm Space between top and bottom plates: 28 mm Weight: 610 g Flight time: ~18 minutes hover with no additional payload. Tested with 5000 mAh battery. Payload: 1500 g (without battery, 70% throttle) Battery recommendation: 4S 3000-5000 mAh 20C+ with XT60 Lipo battery (not Included) Included X500 V2 Frame Kit With Preinstalled Items: 4x Motors: Holybro 2216 KV920 Motor (4 pcs) with XT30 Plug 4x ESCs (BLHeli S ESC 20A) 6x 1045 Propellers Power Distribution Board – XT60 plug for battery & XT30 plug for ESCs & peripherals Note: Depth camera mount is sold separately.

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Ever wanted an automated house? Or a smart garden? Well, now it’s easy with the Arduino IoT Cloud compatible boards. It means: you can connect devices, visualize data, control and share your projects from anywhere in the world. Whether you’re a beginner or a pro, we have a wide range of plans to make sure you get the features you need. Connect your sensors and actuators over long distances harnessing the power of the LoRa wireless protocol or throughout LoRaWAN networks. The Arduino MKR WAN 1310 board provides a practical and cost effective solution to add LoRa connectivity to projects requiring low power. This open source board can be connected to the Arduino IoT Cloud. Better and More Efficient The MKR WAN 1310, brings in a series of improvements when compared to its predecessor, the MKR WAN 1300. While still based on the Microchip SAMD21 low power processor, the Murata CMWX1ZZABZ LoRa module, and the MKR family’s characteristic crypto chip (the ECC508), the MKR WAN 1310 includes a new battery charger, a 2 MByte SPI Flash, and improved control of the board’s power consumption. Improved Battery Power The latest modifications have considerably improved the battery life on the MKR WAN 1310. When properly configured, the power consumption is now as low as 104 uA! It is also possible to use the USB port to supply power (5 V) to the board; run the board with or without batteries – the choice is yours. On-board Storage Data logging and other OTA (Over The Air) functions are now possible since the inclusion of the on board 2 MByte Flash. This new exciting feature will let you transfer configuration files from the infrastructure onto the board, create your own scripting commands, or simply store data locally to send it whenever the connectivity is best. Whilst the MKR WAN 1310’s crypto chip adds further security by storing credentials & certificates in the embedded secure element. These features make it the perfect IoT node and building block for low-power wide-area IoT devices. Specifications The Arduino MKR WAN 1310 is based on the SAMD21 microcontroller. Microcontroller SAMD21 Cortex-M0+ 32-bit low power ARM MCU (datasheet) Radio module CMWX1ZZABZ (datasheet) Board power supply (USB/VIN) 5 V Secure element ATECC508 (datasheet) Supported batteries Rechargeable Li-Ion, or Li-Po, 1024 mAh minimum capacity Circuit operating voltage 3.3 V Digital I/O pins 8 PWM pins 13 (0 .. 8, 10, 12, 18 / A3, 19 / A4) UART 1 SPI 1 I²C 1 Analog input pins 7 (ADC 8/10/12 bit) Analog output pins 1 (DAC 10 bit) External interrupts 8 (0, 1, 4, 5, 6, 7, 8, 16 / A1, 17 / A2) DC current per I/O pin 7 mA CPU flash memory 256 KB (internal) QSPI flash memory 2 MByte (external) SRAM 32 KB EEPROM No Clock speed 32.768 kHz (RTC), 48 MHz LED_BUILTIN 6 USB Full-Speed USB Device and embedded Host Antenna gain 2 dB (bundled pentaband antenna) Carrier frequency 433/868/915 MHz Dimensions 67.64 x 25 mm Weight 32 g Downloads Eagle Files Schematics Fritzing Pinout

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The best way to start exploring the world of connected devices using the Arduino MKR WiFi 1010. The MKR IoT bundle contains all you need to build your first connected devices. Follow the 5 step by step tutorials we have prepared for you and combining the electronic components included in the bundle, you’ll quickly learn how to build devices that connect to the Arduino IoT cloud. All you need to start with IoT This bundle is contains all the hardware and software required to build your first IoT devices with no extra fees. Build 5 IoT projects All the components needed to start your journey into building your own IoT projects. Learn about the Arduino IoT cloud Not only learn about electronic but also about the possibilities the Arduino IoT cloud can offer. Included 1x Arduino MKR1000 WiFi (with mounted headers) 6x Phototransistors 1x Tilt Sensor 1x Temperature sensor (TMP36) 3x Potentiometer 1x Piezo capsule 10x Pushbuttons 1x DC Motor 1x Small servo motor 1x Alphanumeric LCD (16x2 characters) 1x Optocouplers (4N35) 1x H-bridge motor driver (L293D) 2x Mosfet transistors (IRF520) 5x Capacitors 100uF 70x Solid core jumper wires 1x Micro USB cable 1x Breadboard 1x LED (bright white) 3x LEDs (blue) 1x LED (RGB) 8x LED 5 mm (red) 8x LED 5 mm (green) 8x LED 5 mm (yellow) 1x Male pins strip (4x1) 1x Stranded jumper wires (red) 1x Stranded jumper wires (black) 5x Diode 20x 220 Ω resistors 5x 560 Ω resistors 5x 1 KΩ resistors 5x 4.7 KΩ resistors 20x 10 KΩ resistors 5x 1 MΩ resistors 5x 10 MΩ resistors

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This portable WiFi weather station is the perfect blend of functionality and style, offering real-time updates on temperature, humidity, and time – all at a single glance. Featuring a clear digital display, the station ensures that weather and time data are always easy to read and understand. Its minimalist design integrates seamlessly into any environment, adding a touch of modern sophistication without drawing unnecessary attention. Features Multi-Function Display: Shows weather, atmospheric pressure, min/max temperature, wind speed, city, country/region, date, day of the week, outdoor temperature & humidity – all at a glance. Custom GIF Animations: Upload your own GIFs for a personalized display experience. WiFi Connectivity: Automatically connects to the Internet to retrieve real-time weather and time data. Power Supply: USB-C Durable Plastic Casing Dimensions: 45 x 35 x 40 mm

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With this comprehensive complete set, you can now enter the fascinating world of electronics. In addition to an Oxocard Connect and a breadboard cartridge, it contains 96 electronic components with which you can build a variety of electronic circuits. Features Free and unlimited access to the nanopy.io editor with a variety of scripts that you can transfer to your Oxocard Connect at the touch of a button. Electronics course with 15 experiments that show you step by step how to switch LEDs, connect a servo, generate acoustic signals with a piezo and much more. Oxocard Connect High quality microcontroller device with TFT screen, glass cover, joystick, USB-C, as well as revolutionary 16-pin cartridge slot. The Oxocard Connect represents the next generation of small experimental computers. The universal cartridge slot allows ready-made or self-developed boards to be brought to life instantly by simply plugging them in. Each card comes with drivers and demo programs installed and automatically loaded and started when plugged in. Breadboard Cartridge With the Breadboard you can quickly plug in your own circuits. A plug-in board with 17 rows is available for this purpose. Connections: two analog inputs, five digital ports, I²C, SPI, GND/V3.3. access to the 5 V power source of the port. Red LEDs are attached to the digital pins. 5 V can also be injected to power the Oxocard Connect without USB. Included 1x Oxocard Connect 1x Breadboard Cartridge Electronic components 1x PIR-Sensor (Motion detector) 1x Thermistor 10 kΩ (Temperature sensor) 1x Photoresistor 10 kΩ (Light sensor) 1x Potentiometer 1x Mikroservo SG92R 1x Piezo (Acoustic signals) 3x LED (green, yellow, red) 2x Buttons 9x Resistances 75x Cables (angled) – various colors and lengths

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The uArm Swift Pro is a high quality robotic arm that can be used in a wide range of applications. The uArm Swift Pro was developed and optimized for use in education, which means that many packages are already available for open source platforms such as ROS. The uArm Swift Pro has a position repeatability of 0.2 mm and is also equipped with a stepper motor and a 12-bit encoder. These are just a few reasons that make the uArm Swift Pro an excellent choice for educational use. Another great feature is the 3D printing kit that converts the uArm Swift Pro into a 3D printer in less than 1 minute. The uArm supports the following development platforms/systems: UFACTORY SDK Arduino Python ROS GRABCAD OpenMV Smartphone App The smartphone app for iOS is already available in the App Store and enables easy control and monitoring of the robotic arm. The app for Android is in development and will be available soon. An example of the Machine Vision The following GIF shows the uArm in combination with the OpenMV Machine Vision Cam M7 and the facial recognition applications that can be implemented in MicroPython. Specifications Degrees of Freedom: 4 Repeatability: Up to 0.2 mm Payload: 500 g Working Range: 50-320 mm Positioning Speed: 100 m/s Position Feedback: 12-bit Encoder Dimensions: 150 x 140 x 281mm Weight: 2.2 kg Included UFactory uArm Swift Pro Body Bluetooth & Vacuum Gripper Downloads Datasheet

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Valentine's Hearts, 28 blinking LEDs, romantic LED lighting Valentine's Hearts – 28 blinking LEDs for a romantic atmosphere. The perfect Valentine's gift to express your love. Battery-powered and portable, ideal for Valentine's Day. Downloads Manual

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When playing a board game, do you find it annoying when you push away all the pawns with the dice? Or when friends try to cheat by manipulating the dice? With this soldering kit, this is a thing of the past. Instead of pressing a button, you activate this microprocessor-controlled dice by shaking. The 7 flashing LEDs run out slowly and the final combination is displayed flashing. The kit works with one CR2025 or one CR2032 button cell (not included). Downloads Manual

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The Nicla Sense ME is a tiny, low-power tool that sets a new standard for intelligent sensing solutions. With the simplicity of integration and scalability of the Arduino ecosystem, the board combines four state-of-the-art sensors from Bosch Sensortec: BHI260AP motion sensor system with integrated AI BMM150 magnetometer BMP390 pressure sensor BME688 4-in-1 gas sensor with AI and integrated high-linearity, as well as high-accuracy pressure, humidity and temperature sensors. The Arduino Nicla Sense ME is the smallest Arduino form factor yet, with a range of industrial grade sensors packed into a tiny footprint. Measure process parameters such as temperature, humidity and movement. Featuring a 9-axis inertial measurement unit and the possibility for Bluetooth Low Energy connectivity, it can help you to create your next Bluetooth Low Energy enabled project. Make your own industrial grade wireless sensing network with the onboard BHI260AP, BMP390, BMM150 and BME688 Bosch sensors. Features Tiny size, packed with features Low power consumption Add sensing capabilities to existing projects When battery-powered, becomes a complete standalone board Powerful processor, capable of hosting intelligence on the Edge Measures motion and environmental parameters Robust hardware including industrial-grade sensors with embedded AI BLE connectivity maximizes compatibility with professional and consumer equipment 24/7 always-on sensor data processing at ultra-low power consumption Specifications BHI260AP – Self-learning AI smart sensor with integrated accelerometer and gyroscope BMP390 – Digital pressure sensor BMM150 – Geomagnetic sensor BME688 – Digital low power gas, pressure, temperature & humidity sensor with AI Microcontroller 64 MHz ARM Cortex-M4 (nRF52832) Sensors I/O Castellated pins with the following features: 1x I²C bus (with ext. ESLOV connector) 1x Serial port 1x SPI 2x ADC, programmable I/O voltage from 1.8-3.3 V Connectivity Bluetooth 4.2 Power Micro USB (USB-B), Pin Header, 3.7 V Li-po battery with Integrated battery charger Memory 512 KB Flash / 64 KB RAM 2 MB SPI Flash for storage 2 MB QSPI dedicated for BHI260AP Interface USB interface with debug functionality Dimensions 22.86 x 22.86 mm Weight 2 g Downloads Datasheet

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