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Arduino MKR IoT Carrier Rev2

SKU ABX00073 Barcode 7630049203525 Show more
Original price €0
Original price €73,80 - Original price €73,80
Original price
Current price €73,80
€73,80 - €73,80
Current price €73,80
VAT included

The perfect tool for your next IoT project based on MKR boards.
All in one carrier compatible with all the MKR family. 

Overview

With this carrier in combination with any board from the MKR family, you can quickly create your next IoT project without any extra components. This carrier has all you need in sensors and actuators to create cool projects connected to the Internet.

Using the MKR IoT Carrier Rev2 in combination with any board of the MKR family, you can quickly build:

  • Environment monitoring stations: Using the sensors on the carrier, you can map different phenomena around you. You can easily measure temperature, humidity, barometric pressure and air quality or detect the movement of the board, and in case you want to expand the sensor you can use any of the grove connectors to connect analog or I2C grove compatible modules. All this information can be stored in the SD card or sent directly to the Arduino IoT Cloud.
     
  • GUI IoT interface: Even if you want to visualize sensor data or design your own user interface, you can use the OLED color display to create your own navigation menus or use the LEDs and the buzzer for feedback.
     
  • Control external devices: Control electronic appliances up to 24 Volts using the two on-board relays. Either you want to turn on or off your reading lamp remotely through the Arduino IoT Cloud Remote app or use any of the sensor data to affect the behavior of the lamp.

Tech specs

Humidity, temperature barometric and VOC sensor BME688
IMU LSM6DSOX
Ambient light, proximity, color and gesture sensor APDS-9960
Capacitive buttons 5 (Qtouch Pad)
Actuators Buzzer, 5 RGB LEDs
24V Relays 2 (V23079)
Display KD013QVFMD002-01
Grove connectors 2 connected to analog pins (A0/A6), 1 connected to I2C
Micro SD card slot Micro SD card not included
Battery holder 18650 Li-Ion rechargeable battery (battery not included)

 

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
Tiny ML in interactive spaces Arduino X K-WAY Challenge Project
Tiny ML in interactive spaces Arduino X K-WAY Challenge Project
Project Tutorial by fullmakeralchemist

An intelligent device to track moves with responses during an interactive space with mapping, backlight, music and smart sculptures. This project makes use of a machine learning algorithm capable of tracking and detecting moves to identify associated gesture recognition through a microcontroller. Smart sculptures, lighting, music and video projection to trigger with each assigned gesture, creating a powerful AV experience highlighting the incredible potential of TinyML for the performing arts. This allows the corresponding media set Tiny ML in interactive to play when the right move was made because all these elements interact to create a new experience. This allows us to create Interactive installations, these sculptures use a combination of motors, sensors, and other electronics to create an immersive and interactive experience for the viewer. They may include projections, sound, and other sensory elements to create a complete experience.

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BLOG
These projects from CMU incorporate the Arduino Nano 33 BLE Sense in clever ways
These projects from CMU incorporate the Arduino Nano 33 BLE Sense in clever ways
May 22, 2023

With an array of onboard sensors, Bluetooth® Low Energy connectivity, and the ability to perform edge AI tasks thanks to its nRF52840 SoC, the Arduino Nano 33 BLE Sense is a great choice for a wide variety of embedded applications. Further demonstrating this point, a group of students from the Introduction to Embedded Deep Learning course at Carnegie Mellon University have published the culmination of their studies through 10 excellent projects that each use the Tiny Machine Learning Kit and Edge Impulse ML platform. Wrist-based human activity recognition Traditional human activity tracking has relied on the use of smartwatches and phones to recognize certain exercises based on IMU data. However, few have achieved both continuous and low-power operation, which is why Omkar Savkur, Nicholas Toldalagi, and Kevin Xie explored training an embedded model on combined accelerometer and microphone data to distinguish between handwashing, brushing one’s teeth, and idling. Their project continuously runs inferencing on incoming data and then displays the action on both a screen and via two LEDs. Categorizing trash with sound In some circumstances, such as smart cities or home recycling, knowing what types of materials are being thrown away can provide a valuable datapoint for waste management systems. Students Jacky Wang and Gordonson Yan created their project, called SBTrashCat, to recognize trash types by the sounds they make when being thrown into a bin. Currently, the model can three different kinds, along with background noise and human voices to eliminate false positives. Distributed edge machine learning The abundance of Internet of Things (IoT) devices has meant an explosion of computational power and the amount of data needing to be processed before it can become useful. Because a single low-cost edge device does not possess enough power on its own for some tasks, Jong-Ik Park, Chad Taylor, and Anudeep Bolimera have designed a system where

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FAQs

What are the main differences between MKR IoT Carrier and MKR IoT Carrier Rev2?

Some sensors have changed between both versions:

  • The humidity sensor (HTS221) and barometric pressure sensor (LP22HB) was replaced with the BME6688 sensor.
  • The IMU (LSM6DS3) was replaced with LSM6DSOX.

Some other components have been repositioned:

  • Addition of a reset button
  • 90° rotation of the relay connectors
  • Repositioning of the light sensor (APDS-9960)
  • Change of pins assigned to control the relays to pin 1 and 2
  • Change grove connector assignment from pin A5 to A6 

Do I have to change my sketch if I have been using the first revision of the MKR IoT Carrier?

The MKR IoT Carrier library is compatible with both revisions of the carrier, just make sure to use the latest version of the library.

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