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Portenta Vision Shield - Ethernet

Manufacturer: Arduino
Part Number: ASX00021
Description: Professional computer vision, directional audio detection, E...
Quantity: 9999 In Stock
Ship Date : 7-10 working days
In stock
Ext. Price: ₹4,781.85

Professional computer vision, directional audio detection, Ethernet, and JTAG for Arduino Portenta.
The Portenta Vision Shield is also available with LoRa® connectivity.

MOQ 1 Mult 1 SPQ 1

For large-scale purchases, we offer more competitive prices.

Overview

The Portenta Vision Shield brings industry-rated features to your Portenta. This hardware add-on will let you run embedded computer vision applications, connect wirelessly or via Ethernet to the Arduino Cloud or your own infrastructure, and activate your system upon the detection of sound events.

The shield comes with:

  • a 320x320 pixels camera sensor: use one of the cores in Portenta to run image recognition algorithms using the OpenMV for Arduino editor
  • a 100 Mbps Ethernet connector: get your Portenta H7 connected to the wired Internet
  • two on-board microphones for directional sound detection: capture and analyze sound in real time
  • JTAG connector: perform low-level debugging of your Portenta board or special firmware updates using an external programmer
  • SD-Card connector: store your captured data in the card, or read configuration files

The Vision Shield Ethernet has been designed to work with the Portenta H7. The Portenta boards feature multicore 32-bit ARM® Cortex® processors running at hundreds of megahertz, with megabytes of program memory and RAM. Portenta boards come with WiFi and Bluetooth®. Purchase this Shield together with the Portenta H7 for full performance.

Embedded Computer Vision Made Easy

Arduino has teamed up with OpenMV to offer you a free license to the OpenMV IDE, an e

asy way into computer vision using MicroPython as a programming paradigm. Download the OpenMV for Arduino Editor from our professional tutorials site and browse through the examples we have prepared for you inside the OpenMV IDE. Companies across the whole world are already building their commercial products based on this simple-yet-powerful approach to detect, filter, and classify images, QR codes, and others.

More Information
Manufacturer Arduino
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