However, running the Docker Image gives less capabilities for integrating all kinds of sensor. Since the IOT stack runs completely with Docker, we choose the last option. Home Assistant can be installed with three different methods: As a complete OS image that you flash to an SD card, as native software packages that can be installed as Core (essential functions) or Supervisord (nested functions and permissions, including automatic installation of other packages), and as a Docker container. This article originally appeared at my blog. All instructions should work with newer OS and library versions as well. The technical context of this article is Raspberry Pi Os m Home Assistant 2021.10 and ESPHome v2021.9.1. An ESP32-Cam board with a built-in camera, configured and managed with ESPHome, will be added to the Home Assistant dashboard. In this article, you will learn how to setup the Home Assistant platform to access the ESP sensor and display the results. 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.
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