The AVR-IoT WA development board combines a powerful ATmega4808 AVR MCU, an ATECC608A CryptoAuthentication secure element IC and the fully certified ATWINC1510 Wi-Fi network controller – which provides the most simple and effective way to connect your embedded application to Amazon Web Services (AWS). The board also includes an on-board debugger, and requires no external hardware to program and debug the MCU. Out of the box, the MCU comes preloaded with a firmware image that enables you to quickly connect and send data to the AWS platform using the on-board temperature and light sensors. Once you are ready to build your own custom design, you can easily generate code using the free software libraries in Atmel START or MPLAB Code Configurator (MCC). The AVR-IoT WA board is supported by two award-winning Integrated Development Environments (IDEs) – Atmel Studio and Microchip MPLAB X IDE – giving you the freedom to innovate with your environment of choice. Features ATmega4808 microcontroller Four user LED’s Two mechanical buttons mikroBUS header footprint TEMT6000 Light sensor MCP9808 Temperature sensor ATECC608A CryptoAuthentication™ device WINC1510 WiFi Module On-board Debugger Auto-ID for board identification in Atmel Studio and Microchip MPLAB X One green board power and status LED Programming and debugging Virtual COM port (CDC) Two DGI GPIO lines USB and battery powered Integrated Li-Ion/LiPo battery charger

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Program your REKA:BIT with Microsoft MakeCode Editor. Just add REKA:BIT MakeCode Extension and you’re good to go. If you’re a beginner, you can start with the block programming mode; simply drag, drop and snap the coding blocks together. For more advanced users, you can easily switch into JavaScript or Python mode on MakeCode Editor for text-based programming. REKA:BIT possesses a lot of indicator LEDs to assist your coding and troubleshooting. It covers the IO pins connected to all six Grove ports and DC motor outputs from the co-processor. One is able to check his/her program and circuit connection easily by monitoring these LEDs. Besides, REKA:BIT also has a power on/off indicator, undervoltage, and overvoltage LEDs built-in to give appropriate warnings should there be any problem with the power input. REKA:BIT features a co-processor to handle multitasking more efficiently. Playing music while controlling up to 4x servo motors and 2x DC motors, animating micro:bit LED matrix, and even lighting up RGB LEDs in different colors, all at the same time, is not a problem for REKA:BIT. Features 2x DC motor terminals Built-in motor quick test buttons (no coding needed) 4x Servo motor ports 2x Neopixel RGB LEDs 6x Grove port (3.3 V) 3x Analog Input / Digital IO ports 2x Digital IO ports 1x I²C Interface DC jack for power input (3.6-6 V DC) ON/OFF switch Power on indicator Undervoltage (LOW) indicator & protection Over-voltage (HIGH) indicator & protection Dimensions: 10.4 x 72 x 15 mm Included 1x REKA:BIT expansion board 1x USB power and data cable 1x 4xAA battery holder 1x Mini screwdriver 3x Grove to female header cable 2x Building block 1x9 lift arm 4x Building block friction pin Please note: micro:bit board not included

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The HuskyLens AI Camera intuitive design allows the user to control different aspects of the camera just by pressing buttons. You can start and stop learning new objects and even switch between algorithms from the device. To further reduce the need to be connected to a PC the HuskyLens AI Camera comes with a 2-inch display so you can see what's going on in real time. Specifications Processor: Kendryte K210 Image Sensor: OV2640 (2.0 Megapixel Camera) Supply Voltage: 3.3~5.0 V Current Consumption (TYP): 320 mA @ 3.3 V, 230 mA @ 5.0 V (face recognition mode; 80% backlight brightness; fill light off) Connection Interface: UART, I²C Display: 2.0-inch IPS screen with 320x240 resolution Built-in Algorithms: Face Recognition, Object Tracking, Object Recognition, Line Tracking, Color Recognition, Tag Recognition Dimension: 52 x 44.5 mm (2.05 x 1.75') Included 1x HuskyLens Mainboard 6x M3 Screws 6x M3 Nuts 1x Small Mounting Bracket 1x Heightening Bracket 1x Gravity 4-Pin Sensor Cable

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YDLIDAR SDM18 is a high-performance single-point LiDAR. Based on the principle of ToF, it is equipped with related optics, electricity, and algorithm design to achieve high-precision laser distance measurement and outputting high frame rate point cloud data of the scanning environment. It can be used for UAV alt-hold, robot obstacle avoidance and navigation, etc. Specifications High Ranging frequency: 50-250 Hz Range Distance: 0.2-18 m FDA Class I eye safety standard Support UART and I²C interfaces Dimensions: 21 x 15 x 7.87 mm Weight: 1.35 g Applications UAV alt-hold and obstacle avoidance Robot obstacle avoidance Intelligent equipment obstacle avoidance Navigation and obstacle avoidance of home service robots / robot vacuum cleaners Downloads Datasheet User Manual Development Manual SDK Tool ROS

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The Challenger RP2040 LoRa is an Arduino/CircuitPython compatible Adafruit Feather format microcontroller board based on the Raspberry Pi Pico (RP2040) chip.The transceiver features a LoRa long range modem that provides ultra-long range spread spectrum communication and high interference immunity whilst minimizing current consumption.LoRaThe integrated module LoRa module (RFM95W) can achieve a sensitivity of over -148 dBm utilizing a low cost crystal and bill of materials. The high sensitivity combined with the integrated +20 dBm power amplifier yields industry leading link budget making it optimal for any application requiring range or robustness. LoRa also provides significant advantages in both blocking and selectivity over conventional modulation techniques, solving the traditional design compromise between range, interference immunity and energy consumption.The RFM95W is connected to the RP2040 via SPI channel 1 and a few GPIO’s that is required for signaling. A U.FL connector is used to attach your LoRa antenna to the board. 168 dB maximum link budget +20 dBm – 100 mW constant RF output vs. V supply +14 dBm high efficiency PA Programmable bit rate up to 300 kbps High sensitivity: down to -148 dBm Bullet-proof front end: IIP3 = -12.5 dBm Excellent blocking immunity Low RX current of 10.3 mA, 200 nA register retention Fully integrated synthesizer with a resolution of 61 Hz FSK, GFSK, MSK, GMSK, LoRaTM and OOK modulation Built-in bit synchronizer for clock recovery Preamble detection 127 dB Dynamic Range RSSI Automatic RF Sense and CAD with ultra-fast AFC Packet engine up to 256 bytes with CRC Specifications Microcontroller RP2040 from Raspberry Pi (133 MHz dual-core Cortex-M0) SPI Two SPI channels configured (second SPI connected to RFM95W) I²C One I²C channel configured UART One UART channel configured Analog inputs 4 analog input channels Radio module RFM95W from Hope RF Flash memory 8 MB, 133 MHz SRAM memory 264 KB (divided into 6 banks) USB 2.0 controller Up to 12 MBit/s full speed (integrated USB 1.1 PHY) JST Battery connector 2.0 mm pitch On board LiPo charger 450 mA standard charge current Dimensions 51 x 23 x 3,2 mm Weight 9 g Downloads Datasheet Design files

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15 Sensor Modules & 21 Tutorials The Elecrow All-in-One Starter Kit for Arduino is the perfect choice for beginners looking to explore the world of Arduino in a fun and accessible way. The kit includes more than 20 interactive tutorials, ranging from easy to advanced. These step-by-step guides help you master sensor usage, develop logical thinking skills, and spark your creativity. The kit contains 15 sensors in total: 14 built-in sensors and 1 humidity sensor with a Crowtail interface. Each sensor offers unique features and functions, making them ideal for Arduino novices. Additionally, the kit includes 6 Crowtail interfaces, enabling compatibility with over 150 types of Crowtail sensors and offering excellent expandability. These features make it a great entry-level tool for fostering logical thinking and innovation. Unlike most starter kits, this all-in-one kit uses a unified board design — no breadboard, no soldering, and no wiring required. This allows you to focus entirely on programming and learning Arduino. Features 15 sensors with different functions, 21 creative tutorials Common board design for sensors, no need to solder wires, direct use Portable suitcase (small and exquisite) Reserved 6 Crowtail interfaces (3x I/O, 2x I²C, 1x UART) Visualized silk screen printing, corresponding to the characteristics of each sensor Specifications All-in-one Starter Kit for Raspberry Pi Pico 2 All-in-one Starter Kit for Arduino Main Processor Raspberry Pi Pico 2 RP2350 ATmega328P Number of Sensors 17 sensors 15 sensors (including 1 Humidity sensor) Sensor Board Design Integrated sensor board, no soldering or complex wiring required Display 2.4-inch TFT full-color touch screen N/A Ambient Lights 20 full-color ambient lights, switchable via touch screen N/A Built-in Mini Games Yes No Expansion Interfaces N/A 6 Crowtail interfaces(3x I/O, 2x I²C, 1x UART) Programming Environment Based on Arduino software Number of Tutorials 21 creative tutorials Interface USB-C Dimensions 195 x 170 x 46 mm Weight 380 g 340 g Included 1x Elecrow All-in-One Starter Kit for Arduino 1x Moisture Sensor with Cable 1x IR Remote Control 1x USB-C Cable Downloads Datasheet Manual Wiki

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LoRaWAN is beneficial, but sometimes it is unnecessary, difficult, or expensive to implement a LoRaWAN network, especially when considering cloud integration. For example, monitoring soil moisture in your backyard or tracking conditions in your farm's greenhouse may not require a full LoRaWAN setup. This LoRa receiver is designed to work with Makerfabs SenseLora modules. It receives LoRa signals and forwards them to a computer, allowing the data to be displayed, recorded, and analyzed on the computer. Downloads Manual Software

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If you are looking for a simple way to learn soldering, or just want to make a small gadget that you can carry, this set is a great opportunity. Reaction game is an educational kit which teaches you how to solder, and in the end, you get to have your own small game. The goal of the game is to press the button next to the LED as soon as it turns on. With every correct answer, the game gets a bit harder – the time you have to press the button shortens. How many correct answers can you get? It’s based on ATtiny404 microcontroller, programmed in Arduino. At its back, you’ll find CR2032 battery which makes the kit portable. There’s keychain holder as well. Soldering process is easy enough based on the mark on the PCB. Included 1x PCB 1x ATtiny404 microcontroller 4x LEDs 4x Pushbuttons 1x Switch 4x Resistors (330 ohm) 1x CR2032 battery holder 1x Battery CR2032 1x Keychain holder

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If you enjoy DIY electronics, projects, software and robots, you’ll find this book intellectually stimulating and immediately useful. With the right parts and a little guidance, you can build robot systems that suit your needs more than overpriced commercial systems can. 20 years ago, robots based on simple 8-bit processors and touch sensors were the norm. Now, it’s possible to build multi-core robots that can react to their surroundings with intelligence. Today’s robots combine sensor readings from accelerometers, gyroscopes and computer vision sensors to learn about their environments. They can respond using sophisticated control algorithms and they can process data both locally and in the cloud. This book, which covers the theory and best practices associated with advanced robot technologies, was written to help roboticists, whether amateur hobbyist or professional, take their designs to the next level. As will be seen, building advanced applications does not require extremely costly robot technology. All that is needed is simply the knowledge of which technologies are out there and how best to use each of them. Each chapter in this book will introduce one of these different technologies and discuss how best to use it in a robotics application. On the hardware side, we’ll cover microcontrollers, servos, and sensors, hopefully inspiring you to design your own awe-inspiring, next-generation systems. On the software side, we’ll cover programming languages, debugging, algorithms, and state machines. We’ll focus on the Arduino, the Parallax Propeller, Revolution Education PICAXE and projects I’ve with which I’ve been involved, including the TBot educational robot, the PropScope oscilloscope, the 12Blocks visual programming language, and the ViewPort development environment. In addition, we’ll serve up a comprehensive introduction to a variety of essential topics, including output (e.g. LEDs, servo motors), and communication technologies (e.g. infrared, audio), that you can use to develop systems that interact to stimuli and communicate with humans and other robots. To make these topics as accessible as possible, handy schematics, sample code and practical tips regarding building and debugging have been included. Hanno Sander Christchurch, New Zealand

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M5Atom Joystick is a versatile programmable dual-joystick remote controller featuring the AtomS3 as the main controller, with an STM32 handling co-processing functions. It is equipped with two 5-way joysticks with hall sensors, two function buttons, and built-in RGB LEDs for human-machine interaction and status indication. The device includes two high-voltage battery charging circuits. It comes pre-loaded with the Stamp Fly control firmware and communicates with Stamp Fly via the ESP-NOW protocol. The firmware source code is open-source. This product is suitable for drone control, robot control, smart cars, and various DIY projects. Applications Drone control Robot control Smart cars DIY projects Features STM32F030F4P6 Equipped with M5AtomS3 Compatible with Atom Lite, Atom Matrix, AtomS3 Lite, AtomS3 Dual joysticks, dual buttons, toggle switch WS2812 RGB LEDs Dual high-voltage lithium battery charging circuits Battery detection Specifications MCU STM32F030F4P6 RGB WS2812C Charging IC TP4067 @ 4.35 V Battery 300 mAh Charging Current 500 mA Button Left/Right Button Buzzer Built-in Passive Buzzer @ 5020 Operating temperature 0-40°C Dimensions 84 x 60 x 31.5 mm Weight 63.5 g Included 1x Atom JoyStick 1x 300 mAh high-voltage Lithium battery Downloads Documentation

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M5Stamp Fly is a programmable open-source quadcopter, featuring the StampS3 as the main controller. It integrates a BMI270 6-axis gyroscope and a BMM150 3-axis magnetometer for attitude and direction detection. The BMP280 barometric pressure sensor and two VL53L3 distance sensors enable precise altitude hold and obstacle avoidance. The PMW3901MB-TXQT optical flow sensor provides displacement detection. The kit includes a buzzer, a reset button, and WS2812 RGB LEDs for interaction and status indication. It is equipped with a 300 mAh high-voltage battery and four high-speed coreless motors. The PCB features an INA3221AIRGVR for real-time current/voltage monitoring and has two Grove connectors for additional sensors and peripherals. Preloaded with debugging firmware, the Stamp Fly can be controlled using an Atom Joystick via the ESP-NOW protocol. Users can choose between automatic and manual modes, allowing for easy implementation of functions like precise hovering and flips. The firmware source code is open-source, making the product suitable for education, research, and various drone development projects. Applications Education Research Drone development DIY projects Features M5StampS3 as the main controller BMP280 for barometric pressure detection VL53L3 distance sensors for altitude hold and obstacle avoidance 6-axis attitude sensor 3-axis magnetometer for direction detection Optical flow detection for hovering and displacement detection Buzzer 300 mAh high-voltage battery Current and voltage detection Grove connector expansion Specifications M5StampS3 ESP32-S3@Xtensa LX7, 8 MB Flash, WiFi, OTG\CDC support Motor 716-17600kv Distance Sensor VL53L3CXV0DH/1 (0x52) @ max 3 m Optical Flow Sensor PMW3901MB-TXQT Barometric Sensor BMP280 (0x76) @ 300-1100hPa 3-axis Magnetometer BMM150 (0x10) 6-axis IMU Sensor BMI270 Grove I²C+UART Battery 300mAh 1S high-voltage lithium battery Current/Voltage Detection INA3221AIRGVR (0x40) Buzzer Built-in Passive Buzzer @ 5020 Operating temperature 0-40°C Dimensions 81.5 x 81.5 x 31 mm Weight 36.8 g Included 1x Stamp Fly 1x 300 mAh high-voltage Lithium battery Downloads Documentation

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This smart plinth lighting automatically switches on and off when you get up at night. The motion sensor sees you get out of bed and the light turns on! There is an illuminated path from bed to toilet. Obstacles on the way to the toilet are immediately visible and tripping hazards are prevented. Scientific research shows that the fear of falling is significantly reduced when using a Guide Light. The LED lighting has a perfect light intensity. The light is subtle enough not to wake you up, but bright enough for a reliable orientation. The Guiding Light is much more than just a night light.

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This outdoor antenna made of fiberglass is optimized for the reception of ADS-B signals on the 1090 MHz frequency. The antenna consists of a half-wave dipole with 5 dBi gain, encapsulated inside a fiberglass radome with an aluminum mounting base. With a Raspberry Pi, an RTL-SDR and this antenna, you can receive position data from aircraft in your area for apps such as Flightradar24 or FlightAware. Specifications Frequency 1090 MHz Antenna type Dipole 1/2 wave Connector N female Installation type Mast Diam 35-60 mm (mounting bracket included) Gain 5 dBi SWR ≤1.5 Type of Polarization Vertical Maximum power 10 W Impedance 50 Ohms Dimensions 62.5 cm Tube diameter 26 mm Base antenna 32 mm Operating temperature −30°C to +60°C Included ADS-B antenna (1090 Mhz) Mast bracket (for installation on a 35 to 60 mm diameter mast)

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Plug a reader into the headers, use a Qwiic cable, scan your 125kHz ID tag, and the unique 32-bit ID will be shown on the screen. The unit comes with a read LED and buzzer, but don't worry, there is a jumper you can cut to disable the buzzer if you want. Utilizing SparkFun's handy Qwiic system, no soldering is required to connect it to the rest of your system. However, we still have broken out 0.1"-spaced pins if you prefer to use a breadboard. Utilizing the onboard ATtiny84A, the Qwiic RFID takes the six byte ID tag of your 125kHz RFID card, attaches a timestamp to it, and puts it onto a stack that holds up to 20 unique RFID scans at a time. This information is easy to get at with some simple I²C commands.

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