Arduino MKR Connector Carrier (Grove compatible)
Want to connect several Seeed Studio Grove modules to your Arduino board? The Arduino MKR CONNECTOR CARRIER is the perfect companion for Arduino MKR boards and a Grove ecosystem.
Overview
Do you have several components to connect to your project and would rather use connectors instead of soldering? The Arduino MKR CONNECTOR CARRIER provides Seeed Studio's Grove connectors to your MKR board.
The MKR CONNECTOR CARRIER shield is an essential tool for rapidly prototyping activity. It allows you to connect easily and quickly sensors with Grove connectors. This shield can allow you to build applications with different IoT connectivities by simply changing the MKR board and with almost no changes to the code.
Notice: In some Boards, there is an issue with the bottom silk being mirrored
Tech specs
| Interface | 14 Grove Connectors | |
| Analog Inputs | 5 V | |
| A0,A1,A2,A3,A4 single grove Analog input (detailed info) | ||
| A5, A6 double grove Analog input (detailed info) | ||
| Digital Input/Output | 5 V | |
| D0,D1,D2,D3,D4 single grove I/O (detailed info) | ||
| D5,D6 double grove I/O (detailed info) | ||
| Other Connectors | One 5V I2C, One 5V UART | |
| input Voltage (screw terminal block) | 7V - 16V (Buck Datasheet) | |
| Circuit Operating Voltage | 3.3V | |
| Compatibility | MKR |
Conformities
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
Documentation
OSH: Schematics
The Arduino MKR Connector Carrier is open-source hardware! You can build your own board using the following files:
EAGLE FILES IN .ZIP SCHEMATICS IN .PDFLearn more
Get Inspired
Reducing the current drain is a must especially for the LoRa Version of the MKR Series. But there are some pitfalls which must be avoided.
It’s time to catch up on all things LoRaWAN® and low-power IoT! Our team is looking forward to returning to The Things Conference this year, joining all LoRa® key players in Amsterdam on September 21st-22nd. Our experts will be showcasing new products and applications relevant to the technology that is putting the “smart” in smart cities, smart agriculture, smart logistics, and more. Indeed, with IoT’s huge growth potential in both B2B and B2C applications, LoRaWAN® is stepping up as one of the technologies of the future. Already established as the low-power connectivity choice, according to The Things Network it is reaping the benefits of innovations that increase efficiency even further – and is poised to support ESG (environmental, social and governance) goals with reduced energy consumption and secure data transmission. LoRaWAN® novice, or expert? We’ve got you covered Whether you are just realizing the potential of LoRaWAN® or have been a fan of it since day one (like us!), we’ll have something for you to discover at our booth at The Things Conference: Looking for an entry-level option? The Arduino MKR WAN 1310 offers you the renowned versatility of the practical and cost-effective MKR family and adds LoRa® connectivity to projects requiring low power.Ready to take it up a notch? The solution for advanced applications requiring sturdy computational power is to boost Arduino Pro’s Portenta H7 module (in any of its three variants) with the capability to run embedded computer vision applications, connect wirelessly via LoRa® to the Arduino Cloud (or third-party infrastructure), and activate systems upon the detection of sound events. How? With the Portenta Vision Shield LoRa®, of course!Feel the need for high performance? Pair the Portenta Max Carrier with a Portenta X8 module to add LoRa® connectivity to your project, transforming your robust SOM into a single-board computer or reference design enabling edge AI for