LoRa powered solutions running machine vision algorithms

Think machine vision and machine learning is difficult to do on microcontrollers? Find out how to leverage cutting edge technology for developing LoRa powered solutions which run machine vision algorithms efficiently.

In this workshop I will demonstrate how to use the Arduino infrastructure and OpenMV to detect faces, sounds, tags and other objects and connect to a LoRa network to process the data. Highlighting some of the pitfalls, Sebastian will share  learnings from working with the Arduino and the OpenMV team in developing the user experience around the Portenta Vision Shield.

This workshop is for anyone who is interested in developing microcontroller powered products with low latency sensor/actuator interactions, MicroPython code, IoT integration, LoRa connectivity or machine vision features.