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Cloud Compatible

Machine Vision Bundle

SKU h7-visionshield Barcode h7-visionshield Show more
Original price €0
Original price €156,25 - Original price €156,25
Original price
Current price €156,25
€156,25 - €156,25
Current price €156,25
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

PROJECT HUB
LIDAR Intrusion Detector
LIDAR Intrusion Detector
Project Tutorial by maulepilot

Using the Garmin LIDARLite v3HP, Arduino MKR WIFI 1010 and Pushsafer to detect an intruder and send a push notification to a smartphone.

read more
BLOG
Monitoring the weather with an Arduino MKR WiFi 1010-based station
Monitoring the weather with an Arduino MKR WiFi 1010-based station
May 5, 2024

Being able to monitor the weather in real-time is great for education, research, or simply to analyze how the local climate changes over time. This project by Hackster.io user Pradeep explores how he was able to design a simple station outdoors that could communicate with a cloud-based platform for aggregating the sensed data. The board Pradeep selected is the Arduino MKR WiFi 1010 owing to its low-power SAM D21 microcontroller and Wi-Fi/BLE connectivity for easy, wireless communication. After configured, he connected a DFRobot Lark Weather Station, which contains sensors for measuring wind speed/direction, temperature, humidity, and barometric pressure — all in a compact device. Every second, the MKR WiFi 1010’s sketch polls the sensors for new data over I2C before printing it to USB. The cloud integration aspect was achieved by leveraging Qubitro’s platform to collect and store the data for later visualization and analysis. To set it up, Pradeep created a new device connection and copied the resulting MQTT endpoint/token into his sketch. Then once new data became ready, it got serialized into a JSON payload and sent to the topic where a variety of widgets could then show dials and charts of each weather-related metric. To read more about this DIY weather station, you can visit Pradeep’s project write-up here.

read more

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