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Cloud Compatible

IoTerrific Bundle

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Original price €0
Original price €88,18 - Original price €88,18
Original price
Current price €88,18
€88,18 - €88,18
Current price €88,18
VAT included

Let your WiFi ideas fly! Rapidly prototype IoT devices using a MKR 1010 and Grove modules via the MKR Connector Carrier.

Overview

Utilizing Arduino's unique 'Panini Concept' — where designers pick up a MKR board, then mix-and-match it with the desired shields and carrier boards to create custom hardware configurations for IoT projects as if they were crafting a sandwich! The IoTerrific bundle includes the Arduino MKR WiFi 1010, plus the MKR MEM Shield and MKR Connector Carrier, making it one of Arduino's most popular 'combos' and providing you with a terrific starting point for designing your next IoT solution. Availble for a limited time period with a special 'combo' price of $63,99.

  • 1 x Arduino MKR WiFi 1010 - Featuring the flexibility of the ESP32 module from u-blox and its low power consumption, the MKR WiFi 1010 enables you to accelerate and simplify the prototyping of WiFi-based IoT applications. The MKR WiFi 1010 features the smae standardized, modular form factor as the rest of the MKR family, and is consists of three main blocks:
    i) Microchip ATSAMD21 MCU based on an Arm Cortex-M0+ processor
    ii) u-blox NINA-W10 series low power 2.4GHz IEEE 802.11 b/g/n Wi-Fi
    iii) ECC508 CryptoAuthentication

The design includes a Li-Po charging circuit that allows the MKR WiFi 1010 to run on battery power or external 5V, charging the Li-Po battery while operating on external power - switching from one source to the other is done automatically.

  • 1 x MKR MEM Shield - Short on memory? the MKR MEM Shield can help. It adds an additional 2MB flash memory and MicroSD storage to go with your MKR board.
  • 1 x MKR Connector Carrier - Allows you to connect several Seeed Studio Grove modules to your Arduino board; enabling you to build real systems quickly and easily for your IoT prototype.
    Features:
    Interface with up to 14 Grove Connectors
    Analog inputs six at 5V
    Digitial input/output six at 5V
    Other connectors one 5V I2C, one 5V UART

Arduino IoT Cloud Compatible

Use your MKR board on Arduino's IoT Cloud, a simple and fast way to ensure secure communication for all of your connected Things.

TRY THE ARDUINO IOT CLOUD FOR FREE


Resources for Safety and Products

Manufacturer Information

The production information includes the address and related details of the product manufacturer.

Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
https://www.arduino.cc/ 

Responsible Person in the EU

An EU-based economic operator who ensures the product's compliance with the required regulations.

Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
Phone: +39 0113157477
Email: support@arduino.cc

 

Get Inspired

PROJECT HUB
Camera security system with noise detection controlled by Arduino Cloud
Camera security system with noise detection controlled by Arduino Cloud
Project Tutorial by dbeamonte_arduino

This project shows how to create a security system using the camera of an Arduino Nicla Vision board. The system automatically triggers a camera snapshot when presence is detected. Presence is detected when the system detects a sound level that exceeds a configurable threshold. The whole system is controlled by an Arduino Cloud dashboard.

read more
BLOG
Making a car more secure with the Arduino Nicla Vision
Making a car more secure with the Arduino Nicla Vision
August 5, 2024

Shortly after attending a recent tinyML workshop in Sao Paolo, Brazil, Joao Vitor Freitas da Costa was looking for a way to incorporate some of the technologies and techniques he learned into a useful project. Given that he lives in an area which experiences elevated levels of pickpocketing and automotive theft, he turned his attention to a smart car security system. His solution to a potential break-in or theft of keys revolves around the incorporation of an Arduino Nicla Vision board running a facial recognition model that only allows the vehicle to start if the owner is sitting in the driver’s seat. The beginning of the image detection/processing loop involves grabbing the next image from the board’s camera and sending it to a classification model where it receives one of three labels: none, unknown, or Joao, the driver. Once the driver has been detected for 10 consecutive seconds, the Nicla Vision activates a relay in order to complete the car’s 12V battery circuit, at which point the vehicle can be started normally with the ignition. Through this project, da Costa was able to explore a practical application of vision models at-the-edge to make his friend’s car safer to use. To see how it works in more detail, you can check out the video below and delve into the tinyML workshop he attended here.

read more

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