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Cloud Compatible

Machine Vision Bundle

SKU h7-visionshield Barcode h7-visionshield Show more
Original price €0
Original price €158,87 - Original price €158,87
Original price
Current price €158,87
€158,87 - €158,87
Current price €158,87
VAT included

A rapid solution for embedded machine learning (ML) combining vision, audio and connectivity. Open the lenses to a new territory of lean and efficient image processing applications for your Arduino projects.

Overview

The Arduino Portenta Vision Shield is a production-ready expansion for the powerful Arduino Portenta H7. It adds a low-power camera, two microphones, and connectivity; everything you need for the rapid development of edge ML applications.

The Portenta H7 simultaneously runs high-level code along with real-time tasks. The
H7's main processor is a dual-core STM32H747 including a Cortex® M7 running at 480MHz and a Cortex® M4 running at 240MHz. The two cores communicate via a Remote Procedure Call mechanism that allows seamless calling of functions on the other processor.

Both processors share all the in-chip peripherals and can run:

  • Arduino sketches on top of the Arm® Mbed™ OS
  • Native Mbed™ applications

MicroPython / JavaScript (via an interpreter)

TensorFlow™ Lite

Moreover, the onboard wireless module allows the simultaneous management of WiFi and Bluetooth® connectivity on the Portenta H7. 

The Portenta Vision Shield brings industry-rated vision and audio capabilities to your Portenta H7. This hardware add-on lets you run embedded computer vision applications, connect wirelessly or via Ethernet to the Arduino Cloud or your own infrastructure, and activate your system using sound detection. 

The Vision shield comes with a 324x324 pixels camera module that contains an ultra low power image sensor designed for always-on vision devices and applications. The high sensitivity image sensors can capture gestures, ambient light, proximity sensing and object identification.

There’s a plethora of applications you can deploy with Portenta H7 and Portenta Vision Shield. The demonstration below shows how to implement an accurate digits recognition system using Edge Impulse. Digits recognition using computer vision is desirable in many application and market areas, such as grocery retail, manufacturing, utility metering, and administration.

Learn how to implement accurate digit recognition using Edge Impulse.

Check out the documentation to easily implement Portenta H7 and Portenta Vision Shield in your projects.

Arduino IoT Cloud Compatible

Use your MKR board on Arduino's IoT Cloud, 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 on our Contact Us page.

Warranty

You can find your board warranty information here.


Tech specs

The Machine Vision Bundle includes: 

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

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Controlling a power strip with a keyword spotting model and the Nicla Voice
Controlling a power strip with a keyword spotting model and the Nicla Voice
November 24, 2023

As Jallson Suryo discusses in his project, adding voice controls to our appliances typically involves an internet connection and a smart assistant device such as Amazon Alexa or Google Assistant. This means extra latency, security concerns, and increased expenses due to the additional hardware and bandwidth requirements. This is why he created a prototype based on an Arduino Nicla Voice that can provide power for up to four outlets using just a voice command. Suryo gathered a dataset by repeating the words “one," “two," “three," “four," “on," and “off” into his phone and then uploaded the recordings to an Edge Impulse project. From here, he split the files into individual words before rebalancing his dataset to ensure each label was equally represented. The classifier model was trained for keyword spotting and used Syntiant NDP120-optimal settings for voice to yield an accuracy of around 80%. Apart from the Nicla Voice, Suryo incorporated a Pro Micro board to handle switching the bank of relays on or off. When the Nicla Voice detects the relay number, such as “one” or “three," it then waits until the follow-up “on” or “off” keyword is detected. With both the number and state now known, it sends an I2C transmission to the accompanying Pro Micro which decodes the command and switches the correct relay. To see more about this voice-controlled power strip, be sure to check out Suryo’s Edge Impulse tutorial.

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