Machine Vision Bundle
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.
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
I'm excited to share the details of my BT Arduino Tank project, which incorporates some impressive 3D-printed components. While the main chassis of the tank was not 3D-printed, I utilized this technology to create two crucial parts: the enclosure for the motor driver and the compartment housing the remaining electronics. Additionally, I 3D-printed a cannon for an added touch of customization. The enclosure for the motor driver served as a protective housing, ensuring that the L298N motor driver module was securely mounted and shielded from external elements. By designing and 3D-printing this part, I could precisely fit it to the tank's specifications, providing a neat and organized arrangement of the electronics. In the same vein, the compartment for the remaining electronics, such as the Arduino Nano Every and the HC-05 Bluetooth module, was also 3D-printed. This enclosure offered a clean and organized solution for housing these components, safeguarding them while maintaining easy access for maintenance or modifications. Lastly, to enhance the tank's appearance and add a touch of personalization, I designed and 3D-printed a cannon. This custom-printed cannon perfectly complemented the overall design, making the tank even more visually appealing. By strategically incorporating 3D printing into specific parts of the project, I achieved a balance between functionality and customization. The precision and versatility of 3D printing allowed me to create tailored enclosures and a unique cannon, elevating the overall aesthetic and practicality of my BT Arduino Tank project.
KITT (Knight Industries Two Thousand) was a fictional car based on a 1982 Pontiac Trans Am in the Knight Rider television series. KITT featured an artificial intelligence, voiced by the legendary William Daniels, and some iconic styling. Savall21 built a replica RC KITT and used Arduino boards to add sound and light effects that he can trigger with the RC transmitter. This is a custom RC car created by Savall21 using a Tamiya TT-02 kit and a resin 3D-printed body shell. The controller/transmitter is a Jumper T18, which has a customizable touchscreen interface. Savall21 programmed his own widget for that touchscreen. It mimics the fictional KITT control panel and lets the user select different sound effects and activate the iconic headlights. The T18 sends commands to an FrSky XR8 radio receiver located in the car. The FrSky receiver communicates with two Arduino Nano Every boards via the S.Port. The first Arduino controls the sound effects, which play through a DFPlayer Mini MP3 player module. The FrSky receiver simply sends a numerical code to the Arduino, which then activates the corresponding audio clip. The second Arduino drives a strip of WS2812B individually addressable RGB LEDs for the headlights and taillights. The user can control the headlights directly, while the taillights automatically come on any time the throttle is below 50%. For fans of Knight Rider and RC vehicles, this is the ultimate project. The car looks fantastic and the Arduino effects add polish to the build.