Overview
Max Carrier transforms Portenta modules into single-board computers or reference designs that enable edge AI for high-performance industrial, building automation and robotics applications.
Thanks to dedicated high-density connectors, it can be paired with Portenta X8 or H7, allowing you to easily prototype and deploy your industrial projects.
This Arduino Pro carrier further augments Portenta connectivity options with Fieldbus, LoRa®, Cat-M1 and NB-IoT.
Among the many available plug-and-play connectors there are Ethernet, USB-A, audio jacks, microSD, mini-PCIe, FD-CAN and Serial RS232/422/485.
Max Carrier can be powered via external supply (6-36V) or battery via the onboard 18650 Li-ion battery connector with 3.7V battery charger.
Key benefits include:
- Easily prototype industrial applications and minimize time to market
- A powerful carrier exposing Portenta peripherals (e.g. CAN, RS232/422/485, USB, mPCIe)
- Multiple connectivity options (Ethernet, LoRa®, CAT-M1, NB-IoT)
- MicroSD for data logging operations
- Integrated audio jacks (line-in, line-out, mic-in)
- Standalone when battery powered
- Onboard JTAG debugger via micro-USB (with Portenta H7 only)
Prototyping on Portenta projects
The Arduino Portenta Max Carrier is designed to assist developers with their prototypes by exposing the main peripherals of the high-density connectors of the Portenta family boards (H7 and X8). It allows for easy debugging through the JTAG connector and for inspection of the CAN lines through the pins. At the same time, it is the right tool to test Ethernet connectivity as well as to extend connectivity options (CAT-M1, NB-IoT and LoRa®).
Develop your own Industry 4.0 platform
Combine industrial strength and ease of use with Arduino Pro’s Portenta Max Carrier – designed to give you everything you need to implement edge computing in your smart factory or warehouse with simple plug-and-play features. Optimize your manufacturing process and material flows, control machinery remotely and even prevent failures with preventive maintenance: Max Carrier takes your innovation capabilities to the max.
Arduino Iot Cloud
Integrating with Arduino’s IoT Cloud is a simple and fast way to ensure secure communication for all of your connected Things.
TRY THE ARDUINO IOT CLOUD FOR FREE
Need Help?
Check the Arduino Forum for questions about the Arduino Language, or how to make your own Projects with Arduino. If you need any help with your board, please get in touch with the official Arduino User Support as explained in our Contact Us page.
Warranty
You can find your product warranty information here.
*Portenta X8 is not included in the product: Pictures shown are for illustration purposes only.
Tech specs
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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
Learn more
Get Inspired
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.
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.
