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Portenta Hat Carrier

SKU ASX00049 Barcode 7630049204041 Show more
Original price €0
Original price €46,80 - Original price €46,80
Original price
Current price €46,80
€46,80 - €46,80
Current price €46,80
VAT included

Prototype like a pro, add automation or raise the bar in robotics: Portenta Hat Carrier makes high performance easy for you.

Overview

Portenta Hat Carrier is a reliable and robust carrier that transforms Portenta X8 into an industrial single board computer compatible with Raspberry Pi® Hats and cameras. Ready for multiple industrial applications such as building automation and machine monitoring.

Compatible also with Portenta H7 and Portenta C33, Portenta Hat Carrier provides easy access to multiple peripherals – including CAN, Ethernet, microSD and USB – and further extends any Portenta application.
 
Great for prototyping and ready for scaling up, it extends the features found on a typical Raspberry Pi® Model B. Debug quickly with dedicated JTAG pins and keeps heat manageable under intense workloads with a PWM fan connector. Control actuators or read analog sensors via the additional 16x analog I/Os. Add industrial machine vision solutions to any project by leveraging the onboard camera connector. 

Key benefits include:

  • Add Raspberry Pi® Hats to your Portenta projects
  • Quickly access CAN, USB, and Ethernet peripherals
  • Leverage onboard MicroSD card to log data
  • Enjoy simple debugging through the onboard JTAG pins
  • Easily control actuators and read sensors via 16x analog I/Os
  • Leveraging the onboard camera connector for machine vision
  • Discover a great prototyping tool for scalable Portenta applications!

Portenta takes you from prototype to high-performance

Portenta Hat Carrier offers you a frictionless Linux prototyping experience and unlocks the ability for integrated real-time MCU solutions.  Portenta Hat Carrier extends Portenta SOMs for faster, easier and more efficient testing for your ideas while also ensuring the capabilities and industrial-grade performances the Portenta range is known for. Reliable, accessible and open to infinite combinations with add-ons from both the Arduino and Raspberry Pi® ecosystems, it’s the carrier that will carry you away with its flexibility. 

Extend the Raspberry Pi® ecosystem for commercial applications

Combine the ease of use, accessibility and incredible support from both the Arduino and Raspberry Pi® communities for your next project with the carrier designed to combine and extend MPU and MCU applications for the development of advanced commercial solutions. 

Getting Started

Find inspiration for your projects with the Portenta Hat Carrier from our tutorial platform Project Hub.
You can find in the Getting Started with the Portenta Hat Carrier section all the information you need to configure your board, use the Arduino Software (IDE), and start tinkering with coding and electronics.

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 product, please contact the official Arduino User Support through our Contact us page.

Warranty

You can find your product warranty information here.
 


Tech specs

Connectors
  • High-density connectors compatible with Portenta products
  • 1x USB-A female connector
  • 1x Gigabit Ethernet connector (RJ45)
  • 1x CAN FD with onboard transceiver
  • 1x MIPI Camera connector
  • 1x MicroSD card slot
  • 1x PWM fan connector 
  • 40 pin header connector allowing compatibility with Raspberry Pi Hats
  • 16 pin analog header connectors, including:
    • 8x analog inputs
    • 1x GPIO
    • 1xUART without flow control
    • 2x PWM pins
    • 1x LICELL pin for Portenta's RTC power
Interfaces
  • CAN FD
  • UART
  • SAI
  • ANALOG
  • GPIO
  • SPI
  • I2C
  • I2S
  • PWM
Operating temperatures -40° C to +85° C (-40° F to 185 °F)
Dimensions 85 mm x 56 mm (3.35 in x 2.6 in)
Debugging Onboard 10x pin 1.27mm JTAG connector
Power
  • From onboard screw terminal block allowing: 
    • 7-32V power supply, powering both the carrier and the connected Portenta
    • 5V power supply
  • From USB-C on Portenta
  • From 5V on 40 pin header connector

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.

read more
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

read more

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