Platforms

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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Features Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal) Dual Independent Double Precision FPU 8MiB 64bit width On-Chip SRAM Neural Network Processor(KPU) / 0.8Tops Field-Programmable IO Array (FPIOA) AES, SHA256 Accelerator Direct Memory Access Controller (DMAC) Micropython Support Firmware encryption support On-board Hardware: Flash: 16M Camera :OV7740 2x Buttons Status Indicator LED External storage: TF card/Micro SD Interface: HY2.0/compatible GROVE Applications Face recognition/detection Object detection/classification Obtain the size and coordinates of the target in real-time Obtain the type of detected target in real-time Shape recognition Video recorder Included 1x UNIT-V(include 20cm 4P cable and USB-C cable)

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The set consists of 86 pieces. These are a Mega 2560 microcontroller board, 2 breadboards, one USB cable, a battery holder, an IR remote control, one 4-digit segment display, 2x 1-digit segment displays, one 8x8 LED matrix, a potentiometer, one RGB LED, 5 blue LEDs, 5 yellow LEDs, 5 red LEDs, 4 buttons,a temperature sensor (LM35), 2 tilt switches, an IR receiver, one active buzzer, one passive buzzer, 3 photo resistors, a flame sensor, 18 resistors (5x 1 kΩ, 8x 220 Ω, 5x 10 kΩ), a shift register (SN74HC595N) and 30 cables. Features Model Mega 2560 Learning Kit Microcontroller ATmega 2560 R3 Projects 20 different projects Manual Incl. project manual of 63 pages as download and a printed quick reference guide Specifications Input Voltage 7-12 V Ipput Voltage (max.) 6-20 V Digital IO 54 (14 with PWM) Analog IO 16 DC Current IO 40 mA DC Current 3.3 V 50 mA Memory 256 kB (8 kB Bootloader) SRAM 8 kB EEPROM 4 kB Clock Speed 16 MHz Dimensions 11.52 x 53,3 mm

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Do you need a simple AI camera to enhance your projects?  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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The Au continues the trend of more affordable and increasingly powerful FPGA boards arriving each year. This board is a fantastic starting point into the world of FPGAs and the heart of your next project. Finally, now that SparkFun builds this board, we added a Qwiic connector for easy I²C integration! The Alchitry Au features a Xilinx Artix 7 XC7A35T-1C FPGA with over 33,000 logic cells and 256 MB of DDR3 RAM. The Au offers 102 3.3 V logic level IO pins, 20 of which can be switched to 1.8 V; Nine differential analogue inputs; Eight general-purpose LEDs; a 100 MHz on-board clock that can be manipulated internally by the FPGA; a USB-C connector to configure and power the board; and a USB to serial interface for data transfer. To make getting started even easier, all Alchitry boards have full Lucid support, a built-in library of useful components to use in your project, and a debugger! Features Artix 7 XC7A35T-1C - 33,280 logic cells 256 MB DDR3 RAM 102 IO pins (3.3 V logic level, 20 of them can be switched to 1.8 V for LVDS) Nine differential analogue inputs (One dedicated, Eight mixed with digital IO) USB-C to configure and power the board Eight general-purpose LEDs One button (typically used as a reset) 100 MHz on-board clock (can be multiplied internally by the FPGA) Powered with 5 V through USB-C port, 0.1' holes, or headers USB to serial interface for data transfer (up to 12 Mbaud) Qwiic Connector Dimensions: 65 x 45 mm

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The AxiDraw MiniKit 2 The AxiDraw MiniKit 2 is a special compact addition to the AxiDraw lineup. Designed for lighter-duty applications, It takes up less desk space and less storage space. It's considerably more portable, too. The AxiDraw MiniKit is also the only DIY kit model of AxiDraw that you get to assemble yourself. All other AxiDraw models ship fully assembled, tested, and ready to use.) A Mini Plotter The AxiDraw MiniKit 2 has a working area of about 6 × 4 inches (150 × 100 mm): Big enough to be useful for a wide range of applications including short notes, postcards, and addressing envelopes. It's also ideally suited for use as a signature machine, for signing checks, letters, books, or artwork. Applications The AxiDraw is an extremely versatile machine, designed to serve a wide variety of everyday and specialized drawing and writing needs. You can use it for almost any task that might normally be carried out with a handheld pen. It allows you to use your computer to produce writing that appears to be handmade, complete with the unmistakable appearance of using a real pen (as opposed to an inkjet or laser printer) to address an envelope or sign one's name. And it does so with precision approaching that of a skilled artist, and – just as importantly – using an arm that never gets tired. Specifications Performance Usable pen travel (inches): 6.3 × 4 inches Usable pen travel (millimeters): 160 × 101 mm Vertical pen travel: 0.7 inch (17 mm) Maximum XY travel speed: 10 inches (25 cm) per second Native XY resolution: 2032 steps per inch (80 steps per mm) Reproducibility (XY): Typically better than 0.005 inches (0.1 mm) at low speeds Physical Major structural components are machined, extruded, or folded aluminum, manufactured and anodized in the USA. Holds pens and other drawing instruments up to 5/8' (16 mm) diameter and 25 g weight. Overall dimensions: Approximately 14.25 × 9.25 × 4.25 inches (36 × 23.5 × 11 cm) Maximum height with cable guides: Approximately 9 inches (23 cm) Footprint: Approximately 13.5 × 1.7 inches (35 x 4.5 cm) Weight: 3.2 Lb (1.5 kg) Software Compatible with Mac, Windows, and Linux Drive directly from within Inkscape, using the AxiDraw extension Comprehensive user guide available for download Driver software software free to download and open source Internet access is required to download software Additionally, AxiDraw Merge software available at no cost to AxiDraw owners. Programming interfaces Note: Programming is not required to use the AxiDraw Stand-alone command line interface (CLI) Available AxiDraw Python API RESTful API available for full machine control, stand-alone or accessible by running RoboPaint in the background. Simplified 'GET-only' API available as well, for use in programming environments (such as Scratch, Snap) that permit only retrieval of URLs. Direct EiBotBoard (EBB) command protocol available for use in any programming environment that supports communication with USB-based serial ports. Code that generates SVG files can also be used to (indirectly) control the machine. Included All parts and materials necessary to build the AxiDraw MiniKit 2 writing and drawing machine. Multi-plug power supply with EU adapter USB cable Small Easel (Board and clips) for paper holding Tools needed Scissors or diagonal cutters Small Phillips-head screwdrivers: #0 and #1 sizes Small flat-head screwdriver: 2 mm or 5/64' blade width recommended Miniature pliers (Recommended but not required) Small hobby knife (Recommended but not required) Downloads User Guide

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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 terminalsBuilt-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 VDC) 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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This is a 170 mm long 868 MHz 50 hm antenna kit targeted for use with iLabs Challenger LoRa products. The antenna can tilt and swivel making it easy to install it in various applications. The kit also comes with a RF cable assembly containing an SMA (Female) and JK-IPEX/MHF/U.FL for connection to the PCB. The coax is a 1-13 mm 50 Ohm cable and is 100 mm’s long.

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Easy to solder real time watch kit with a unique laser cut acrylic casing. Four individual acrylic parts cut to fit the internal PCB, battery and switch perfectly. Included is a velcro wrist band. After soldering the Solder:Time, the watch is built by stacking the acrylic parts with the PCB and holding it together with the included screws.The Solder:Time was designed to be a wrist watch. It doesn't have to be limited to living on your wrist, you could also use it as a badge or desk clock.Features Great looking laser cut acrylic case Unique watch Easy to solder Stand alone project – no computer or other programmer required. Just solder it and it's ready! On board Dallas DS1337+ Real Time Clock (RTC) for super accurate time keeping Jumper (on bottom) for always on use. Hackable: Programming and I²C pads labeled on bottom Clear front and back casing to show the internal electronics Adjustable wrist band Can be also be worn as a badge with optional badge clip. Long lasting battery, with special LED lighting method and very low power processor sleeping. Included Solder:Time PCB with all of the electronics Laser cut acrylic casing with four screws Easy to use Velcro type wrist band (long enough for huge wrists, trim-able for smaller ones. CR2032 Battery DownloadsDocumentationRequiredSoldering Iron, solder and wire snips.

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Pico LoRa Expansion is a low-power consumption data transmission board, comes with an onboard CH340 USB to UART converter, Voltage Level Translator (74HC125V), E22-900T22S SMA antenna connector that covers 868 MHz frequency band, Onboard 1.14' LCD, IPEX antenna connector, LoRa Spread Spectrum Modulation technology with auto multi-level repeating. Pico LoRa Expansion is developed to enable data transmission up to 5 km through serial port. With the new generation LoRa spread spectrum modulation technology, a user can easily transmit the data in low-power consumption. E22-900T22S Pico LoRa Expansion discrete itself from the normal LoRa with its longer communication distance, lower power consumption with better safety and ani-inference system. USB-UART communication of Pico LoRa enables the direct communication with a desktop/laptop without using Raspberry Pi Pico. LoRa is the abbreviation of Long-range that runs on a technique called spread-spectrum technique, procured from chirp spread spectrum (CSS) technology, that encodes information by using the wideband linear frequency modulated chirp pulses. Features Onboard 1.14' LCD Voltage Level Translator (74HC125V) Communication range up to 5 km Supports auto repeating to transmit longer Low Power Consumption Highly Secured For Evaluating signal quality with the RSSI or 'Received Signal Strength Indicator' Wireless parameter configuration support Fixed-point transmission support SMA and IPEX Antenna Connector USB to LoRa and Pico to LoRa Communication via UART Comes with development resources and manual LED Indicators: RXD/TXD: UART RX/TX indicator AUX: auxiliary indicator PWR: power indicator Serial/USB selection jumpers: A: USB to UART to control the LoRa module through USB B: control the LoRa module through Raspberry Pi Pico Data/Command mode selection jumpers: Short M0, short M1: Transmission mode Short M0, open M1: Configuration mode Open M0, short M1: WOR mode Open M0, open M1: Deep sleep mode Included 1x Raspberry Pi Pico LoRa Expansion (868 MHz) 1x Antenna Note: Raspberry Pi Pico is not included. Downloads GitHub Wiki

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Get started with microcontroller based electronicsThis Arduino-compatible bundle contains the Motherboard, Digitiser, Sensor Array and RGB Matrix. With these 4 boards you have everything you need to build a clock, score counter, timer, task reminder, thermometer, humidity display, sound meter, light meter, clap trigger, colored bar graph display, animated alarm, and much more! The Motherboard has a built in real time clock module that keeps time even when unplugged. The Digitiser can display 4 digits or characters and includes 2 buttons and a potentiometer to let you control what’s being displayed, or the brightness of the display. The Sensor Array can read temperature, relative humidity, sound and light, with an SD card slot for data recording. The RGB Matrix has 16 RGB LEDs that are controlled through shift registers, so only use 3 or 4 pins of the Motherboard. MotherboardThe Motherboard is an Arduino-compatible microcontroller breakout board designed around the ATmega328P. The board comes in a solder-it-yourself kit with all the components you need to get started with microcontroller based electronics. All other boards connect to this. Based on the ATmega328P Arduino compatible On-Board RTC (Real Time Clock) FTDI Header for easy programming Bluetooth Header Terminal Block Connections DigitiserThe Digitiser is a versatile display and input board. It let’s you visualise your data. Show your sensor information, clock digits, or even keep score for your favourite card game. The Digitiser also includes some buttons and a knob to let you take control. 4x 7-Segment Displays Uses 595 Shift Registers 2 Switches and a Potentiometer 4 colored 'Mode' LEDs Chainable with other 595 Boards Terminal Block Connections Sensor ArrayAs the name suggests, the Sensor Array is an array of sensors. Measure temperature and relative humidity via the DHT11, light via the light dependant resistor, and sound via the microphone and amplifier circuit. Then you can log the data using the on-board SD card slot. DHT11 Temp & Humidity Sensor Microphone and Amplifier Circuit Light Dependent Resistor MicroSD Slot for Saving Data Logic Level Converter Circuit Terminal Block Connections RGB MatrixAdd color to your project by controlling 16 red, 16 green and 16 blue LEDs with just 3 pins of your microcontroller. The RGB Matrix uses shift registers, a matrix and switching transistors, so there’s plenty to learn and explore. 4x4 (16) RGB LEDs Uses 595 Shift Registers Chainable with other 595 Boards Transistor Switches Terminal Block Connections Downloads (Manuals) Motherboard Digitiser Sensor Array RGB Matrix

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The Joy-Car is an autonomous robot based on micro:bit and offers a modular robotics learning kit. With the help of the detailed manual, all assemblies and their functions as a whole machine are explained, as well as details of programming and codes.Sensors such as line tracking, ultra sonic, infrared and wheel speed sensors provide functions such as autonomous driving and even the control via Bluetooth via a second, separate micro:bit.The additional equipment simulates indicators, lights, reversing light and horn, thus complement the experience of an autonomous robot car. With addressable LEDs, individual lighting scenarios can also be realized.SpecificationsPower Supply 4x AA batteries Alternatively: 4.5-9 VDC Functions & Features Learning the individual components as a whole machine Suitable from 9 years on, ideal for school purposes Detailed instructions for programming including codes Programming languages: Micro:Python and MakeCode Autonomous driving by line finder, ultrasonic and infrared BT-control via separate 2nd micro:bit possible Simulation of indicators, lights, reversing light and horn Compatible with micro:bit v1 and v2 Included sensors 2x Speed sensor 3x Line tracking sensor 1x Ultrasonic sensor 2x Obstacle sensor Included electronic assembly 1x Joy-Car mainboard 2x Gear motor 2x Servo motor 4x LED board 1x Battery case Dimensions189 x 171 x 77 mmIncluded items Joy-Car Acryl Kit Sensors Electronics assembly Mounting material Connection cables RequiredBBC micro:bit v1 or v2Downloads Manual MakeCode Tutorials Websitehttps://joycar.joy-it.net/en/

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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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The SparkFun JetBot AI Kit V3.0 is a great launchpad for creating entirely new AI projects for makers, students, and enthusiasts interested in learning AI and building fun applications. It’s straightforward to set up and use and is compatible with many popular accessories. Several interactive tutorials show you how to harness AI's power to teach the SparkFun JetBot to follow objects, avoid collisions, and more. The Jetson Nano Developer Kit (not included in this kit) offers useful tools like the Jetson GPIO Python library and is compatible with standard sensors and peripherals; including some new python compatibility with the SparkFun Qwiic ecosystem. Additionally, the included image is delivered with the advanced functionality of JetBot ROS (Robot Operating System) and AWS RoboMaker Ready with AWS IoT Greengrass already installed. SparkFun’s JetBot AI Kit is the only kit currently on the market ready to move beyond the standard JetBot examples and into the world of connected and intelligent robotics. This kit includes everything you need to get started with JetBot minus a Phillips head screwdriver and an Ubuntu desktop GUI. If you need these, check out the includes tabs for some suggestions from our catalogue. Please be aware that the ability to run multiple neural networks in parallel may only be possible with a full 5V-4A power supply. Features SparkFun Qwiic ecosystem for I²C communication The ecosystem can be expanded using 4x Qwiic connectors on GPIO header Example Code for Basic Motion, Teleoperation, Collision avoidance, & Object Following Compact form factor to optimize existing neural net from NVIDIA 136° FOV camera for machine vision Pre-flashed MicroSD card Chassis assembly offers expandable architecture No soldering required Included 64 GB MicroSD card - pre-flashed SparkFun JetBot image: Nvidia Jetbot base image with the following installed: SparkFun Qwiic python library package Driver for Edimax WiFi adapter Greengrass Jetbot ROS Leopard Imaging 136FOV wide-angle camera & ribbon cable EDIMAX WiFi Adapter SparkFun Qwiic Motor Driver SparkFun Micro OLED Breakout (Qwiic) All hardware & prototyping electronics needed to complete your fully functional robot! Required NVIDIA Jetson Nano Developer Kit Downloads Assembly Guide

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For your next Undercover Mission With this technological gadget, your voice is guaranteed to remain unrecognizable. The voice changer modifies the frequencies of your voice so that even your best friends won't recognize it. The ideal tool for remaining 'undercover' or playing a prank! Additionally required: 1 x 9 V battery

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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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The Grab-it Robot arm is produced in a special solid model. The frame of the arm exists of very solid, black anodized aluminium. Included in delivery are 6 PWN controlled servo motors, that are constructed for a pressure of 20 kg/cm. So there is a high range of usage and enough power reserves for your projects. The pressure range of the precision claw is adjusted to the arm and able to work under the same pressure. The arm will be delivered with a rotary plate (360°) where it has to be mounted. The rotary plate will fixed on a 28.5 x 16 cm base plate. There are already bores for all current single-board computers and development boards (Raspberry Pi, Banana Pi, Arduino,…). For an easy and accurate controlling, we recommend MotorPi (for Raspberry Pi) or Motorino (for Arduino). Highlights & Details Material: robust aluminium, black anodized incl. 6 pieces 20 kg/cm PWM/servo motors Voltage range 5 to 7.4 V DC Metal gear incl. base plate with bores for all current single-board computers and development boards incl. high-quality precision claw Motors 21.5 kg/ cm torque at 7.4V5V-7.4 V DC voltage360° mechanical angle, 180° operating rangemetal gearcontrolable via PWMCurrent intake 5 mA to 2 A (per motor) Frame Aluminum profile Dimensions Base plate 28.5 x 16 cmHeight: depending on the position of the arm, up to 42 cm Range About 30 cm from the center of the rotary plate Base plate 4.5 mm acrylic with mounting possiblity for Raspberry Pi A+/B+/2/3, CubieBoard, Arduino Mega, Banana Pi M2, pcDuino and many more.Holes with spacers allowing the attachment to a ground plate Components Robot arm in single plarts incl. rotary-plate, claw, base-plate and mounting-material, 6 motors Recommended accessories MotoPi (motor control for Raspberry Pi)Motorino (motor control for Arduino)

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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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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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