The SuperSensor v3 is the ultimate Home Assistant sensor array. Providing a wide range of environmental and presence indicators, it can help detect presence via both mm-wave radar and PIR, provide temperature, humidity, and air quality metrics, and detect light levels. In addition, it includes a full onboard voice control satellite, with internal wake word detection and feedback via RGB LEDs. Place SuperSensors in you rooms and open a world of automation potential.
Build one yourself or buy one here
The Home Assistant ecosystem has several excellent environmental sensors, as well as a few promising voice satellites. But no one has combined them both - until now!
The SuperSensor is truly all-in-one, packed with almost every sensor you could ever need to monitor your home environment (while still keeping it reasonably costed and sized, of course).
With both PIR and millimetre-wave radar, you can take full control of your presence detection, helping to eliminate false positives.
The voice satellite features on-board wake word support, with our configuration currently sporting 8 choices, and potentially more in the future, and defaulting to “Computer” for that authentic Star Trek: The Next Generation feel.
Feedback for voice control uses a pair of bright RGB LEDs, avoiding a speaker for quick and silent operation.
Finally, the entire project is open-source: from the configuration, to the PCB schematics and parts lists, to the 3D-printable case. You can build one entirely on your own if you so choose.
Integration with Home Assistant couldn’t be simpler - simply provision the device on your network, add it to HA, and you have a full range of sensors at the ready. Some calibration is recommended for the radar, but otherwise the device is functional out of the box.
We offer both completed units, as well as assembled PCBs, for sale in our Etsy shop, to help those who can’t or don’t want to build one themselves. We consider the cost reasonable for the feature set and uniqueness of the device, which is hand-crafted with care.
For more information, please see the GitHub repository above!