With this configuration, ESPHome compiles a board specific, custom code that automatically includes all required libraries. Here, you specify sensor specifics, such as model and GPIO configurations, and sensor features, which functions you want to use and which data you want to access. Sensors are configured with declarative YAML files. Out of the box it supports sensors for air quality, energy, movement, distance and much more. This article originally appeared at my blog .ĮSPHome is a framework that simplifies configuration, installation and management of ESP8266 or ESP32 boards and their sensors. All instructions should work with newer OS and library versions as well. The technical context of this article is Raspberry Pi OS and ESPHome v2021.9.1. Specifically, we will connect an ESP32-Camera board with a built-in camera, and then access this board via the ESPHome Dashboard. In this article, you will learn how to leverage the ESPHome framework for configuring, installation and management of ESP8266 boards and attached sensors. In addition to this manual way, there are great frameworks to flash and install utility programs to sensors, and also great platforms that access several sensors and show the measurements graphically as well as giving you direct interaction with these sensors. We have complete control over all these steps, and can configure every single character that the sensor outputs. By using PlatformIO, we manually flash the sensor, then choose available library for interacting with a sensor, and adding additional libraries to communicate with MQTT and send correctly transformed JSON data. In the last articles, we learned how to manually add a temperature/humidity sensor to the home network. A complete IOT stack running on a Raspberry Pi is an effective way to integrated different sensors for home automation.

Esphome raspberry pi zero