Features NFC chip material: PET + Etching antenna Chip: NTAG216 (compatible with all NFC phones) Frequency: 13.56 MHz (High Frequency) Reading time: 1 - 2 ms Storage capacity: 888 bytes Read and write times: > 100,000 times Reading distance: 0 - 5 mm Data retention: > 10 years NFC chip size: Diameter 30 mm Non-contact, no friction, the failure rate is small, low maintenance costs Read rate, verification speed, which can effectively save time and improve efficiency Waterproof, dustproof, anti-vibration No power comes with an antenna, embedded encryption control logic, and communication logic circuit Included 1x NFC Stickers (6-color kit)

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OV7740 is a AI Camera powered by Kendryte K210, an edge computing system-on-chip(SoC) with a dual-core 64bit RISC-V CPU and state-of-art neural network processor. 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 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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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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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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The CubeCell series is designed primarily for LoRa/LoRaWAN node applications. Built on the ASR605x platform (ASR6501, ASR6502), these chips integrate the PSoC 4000 series MCU (ARM Cortex-M0+ Core) with the SX1262 module. The CubeCell series offers seamless Arduino compatibility, stable LoRaWAN protocol operation, and straightforward connectivity with lithium batteries and solar panels. The HTCC-AB02S is a developer-friendly board with an integrated AIR530Z GPS module, ideal for quickly testing and validating communication solutions. Features Arduino compatible Based on ASR605x (ASR6501, ASR6502), those chips are already integrated the PSoC 4000 series MCU (ARM Cortex M0+ Core) and SX1262 LoRaWAN 1.0.2 support Ultra low power design, 21 uA in deep sleep Onboard SH1.25-2 battery interface, integrated lithium battery management system (charge and discharge management, overcharge protection, battery power detection, USB/battery power automatic switching) Good impendence matching and long communication distance Onboard solar energy management system, can directly connect with a 5.5~7 V solar panel Micro USB interface with complete ESD protection, short circuit protection, RF shielding, and other protection measures Integrated CP2102 USB to serial port chip, convenient for program downloading, debugging information printing Onboard 0.96-inch 128x64 dot matrix OLED display, which can be used to display debugging information, battery power, and other information Using Air530 GPS module with GPS/Beidou Dual-mode position system support Specifications Main Chip ASR6502 (48 MHz ARM Cortex-M0+ MCU) LoRa Chipset SX1262 Frequency 863~870 MHz Max. TX Power 22 ±1 dBm Max. Receiving Sensitivity −135 dBm Hardware Resource 2x UART1x SPI2x I²C1x SWD3x 12-bit ADC input8-channel DMA engine16x GPIO Memory 128 Kb FLASH16 Kb SRAM Power consumption Deep sleep 21 uA Interfaces 1x Micro USB1x LoRa Antenna (IPEX)2x (15x 2.54 Pin header) + 3x (2x 2.54 Pin header) Battery 3.7 V lithium battery (power supply and charging) Solar Energy VS pin can be connected to 5.5~7 V solar panel USB to Serial Chip CP2102 Display 0.96" OLED (128 x 64) Operating temperature −20~70°C Dimensions 55.9 x 27.9 x 9.5 mm Included 1x CubeCell HTCC-AB02S Development Board 1x Antenna 1x 2x SH1.25 battery connector Downloads Datasheet Schematic GPS module (Manual) Quick start GitHub

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The Challenger RP2040 NFC is a small embedded computer, equipped with an advanced on-board NFC controller (NXP PN7150), in the popular Adafruit Feather form factor. It is based on an RP2040 microcontroller chip from the Raspberry Pi Foundation which is a dual-core Cortex-M0 that can run on a clock up to 133 MHz. NFC The PN7150 is a full featured NFC controller solution with integrated firmware and NCI interface designed for contactless communication at 13.56 MHz. It is fully compatible with NFC forum requirements and is greatly designed based on learnings from previous NXP NFC device generation. It is the ideal solution for rapidly integrating NFC technology in any application, especially small embedded systems reducing Bill of Material (BOM). The integrated design with full NFC forum compliancy gives the user all the following features: Embedded NFC firmware providing all NFC protocols as pre-integrated feature. Direct connection to the main host or microcontroller, by I²C-bus physical and NCI protocol. Ultra-low power consumption in polling loop mode. Highly efficient integrated power management unit (PMU) allowing direct supply from a battery. Specifications Microcontroller RP2040 from Raspberry Pi (133 MHz dual-core Cortex-M0) SPI One SPI channels configured I²C Two I²C channel configured (dedicated I²C for the PN7150) UART One UART channel configured Analog inputs 4 analog input channels NFC module PN7150 from NXP 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 Note: Antenna is not included. Downloads Datasheet Quick start example

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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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This fiberglass outdoor antenna is optimized for receiving signals in the 868 MHz ISM band, supporting technologies such as Sigfox, LoRa, Mesh Networks, and Helium. The antenna consists of a half-wave dipole with 4.4 dBi gain, encapsulated inside a fiberglass radome with an aluminum mounting base. Specifications Frequency 868-870 MHz Antenna type Dipole 1/2 wave Connector N female Installation type Mast Diam 35-60 mm (mounting bracket included) Gain 4.4 dBi SWR ≤1.5 Type of Polarization Vertical Maximum power 10 W Impedance 50 Ohms Dimensions 52.5 cm Tube diameter 26 mm Base antenna 32 mm Operating temperature −30°C to +60°C Included ISM Band Antenna (868 Mhz) Mast bracket (for installation on a 35 to 60 mm diameter mast)

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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 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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TapNLink modules provide wireless interfaces for linking electronic systems to mobile devices and the Cloud. TapNLink connects directly to the target system's microcontroller. It integrates into and is powered by the target system. All TapNLink products are easily configured to control access by different types of users to data in the target system. TapNLink facilitates rapid creation of Human Machine Interfaces (HMI) that run on Android, iOS and Windows mobiles. HMI apps are easily customized for different users and can be deployed and updated to keep pace with evolving system requirements and user needs. TapNLink Wi-Fi modules can also be configured to connect the target system permanently to a wireless network and the Cloud. This enables permanent logging of target system data and alarms. Features Wireless Channels Wi-Fi 802.11b/g/n Bluetooth Low Energy (BLE 4.2) Near Field Communication (NFC) Type5 tag (ISO/IEC 15693) Supported Target Connections: Connects on 2 GPIO of the target microcontroller and supports: Serial interface with Software Secure Serial Port (S3P) protocol Serial interface with ARM SWD debug protocol. UART with Modbus protocol Mobile Platform Support HTML5 web apps (Android, iOS) API for Cordova (Android, iOS, Windows 10) Java (Android, iOS native) Auto-app generator for Android and iOS mobiles Security Configurable access profiles Configurable, encrypted passwords AES-128/256 module-level data encryption Configurable secure pairing with NFC Dimensions: 38 mm x 28 mm x 3 mm Electrical Characteristics Input voltage: 2.3V to 3.6 V Low power consumption: Standby: 100 µA NFC Tx/Rx: 7 mA Wi-Fi Rx: 110 mA Wi-Fi Tx : 280 mA (802.11b) Temperature Range: -20°C ~ +55°C Compliance CE (Europe), FCC (USA), IC (Canada) REACH RoHS WEEE Ordering Information Base Part Number: TnL-FIW103 MOQ: 20 modules TapNLink modules pre-qualified, pre-programmed and ready to configure. IoTize Studio configuration and testing software Software for HMI on mobile devices (iOS, Android, Windows 10) IoTize Cloud MQTT infrastructure (open source) For more information, check out the datasheet here.

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The Arduino Pro Portenta Vision Shield LoRa brings industry-rated features to your Portenta. This hardware add-on will let you run embedded computer vision applications, connect wirelessly via LoRa to the Arduino Cloud or your own infrastructure, and activate your system upon the detection of sound events. The shield comes with: a 320x320 pixels camera sensor: use one of the cores in Portenta to run image recognition algorithms using the OpenMV for Arduino editor long range 868/915 MHz LoRa wireless connectivity: get your Portenta H7 connected to the Internet of Things with low power consumption two on-board microphones for directional sound detection: capture and analyse sound in real-time JTAG connector: perform low-level debugging of your Portenta board or special firmware updates using an external programmer SD-Card connector: store your captured data in the card, or read configuration files The Vision Shield LoRa has been designed to work with the Arduino Portenta H7. The Portenta boards feature multicore 32-bit ARM Cortex processors running at hundreds of megahertz, with megabytes of program memory and RAM. Portenta boards come with WiFi and Bluetooth. Specifications Camera Himax HM-01B0 camera module (manufacturer site) Resolution 320 x 320 active pixel resolution with support for QVGA Image sensor High sensitivity 3.6μ BrightSense pixel technology Microphone 2x MP34DT05 (datasheet) Connectivity 868/915MHz ABZ-093 LoRa Module with ARM Cortex-M0+ (datasheet) Dimensions 66 x 25 mm Weight 8 g Downloads Datasheet Schematics

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