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    Edge Impulse firmware for Espressif ESP32 - GitHub

    Learn how to create intelligent device solutions with embedded Machine Learning using Edge Impulse firmware for ESP-EYE (ESP32) and FireBeetle Board (ESP32). Find requirements, instructions, and support for other ESP32 boards.

    Github

    Edge Impulse enables developers to create the next generation of intelligent device solutions with embedded Machine Learning. This repository contains the Edge Impulse firmware for the Espressif ESP32 based development boards, specifically ESP-EYE (ESP32) and FireBeetle Board (ESP32). These devicee supports Edge Impulse device features, including ingestion and inferencing.

    Note: Do you just want to use this development board with Edge Impulse? No need to build this firmware. See the instructions here for a prebuilt firmware and instructions. Or, you can use the data forwarder to capture data from any sensor.

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    Hardware

    •Espressif ESP32 based development boards, preferably ESP-EYE (ESP32) and FireBeetle Board (ESP32). Using with other boards is possible, but code modifications is needed. For more on that read Using with other ESP32 boards.

    Tools

    Install ESP IDF v4.4, following the instructions for your OS from this page.

    Building the application

    Then from the firmware folder execute: get_idf is an alias for export.sh script that sets up ESP IDF environment variables. Read more about it here.

    Flash

    Connect the ESP32 board to your computer. Run: Where /dev/ttyUSB0 needs to be changed to actual port where ESP32 is connected on your system.

    Serial connection

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