Overview
Portenta Mid Carrier accelerates prototyping with your Portenta C33, Portenta H7, or Portenta X8, allowing you to effortlessly access high-density signals through dedicated headers.
Instantly add a range of peripherals to your project – including mini PCIe, two CAN lines, Ethernet, microSD, USB, and camera – and enjoy dedicated debug pins and RTC battery backup to simplify development even further.
Key benefits include:
- Great prototyping tool for scalable Portenta applications
- Quickly access all Portenta’s high-density signals
- Expand existing projects with multiple connectivity options, thanks to Ethernet and mPCIe connectors
- Leverage onboard MicroSD card slot to boot from an external source
- Easily interact with actuators deploying the onboard CAN lines (with onboard or offboard transceiver)
- Develop industrial machine vision solutions exploiting onboard camera connectors
- Simple reference design to develop proprietary hardware
Applications
The Portenta Mid Carrier combines with MIPI or Arducam® cameras to streamline machine vision prototyping, and can accelerate cellular connectivity testing thanks to its mini PCIe connector. Perfect for smart cities and buildings, remote maintenance, and fleet management.
Tech specs
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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
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.
