Pimoroni Enviro for Raspberry Pi - Enviro

SKU:

13-00014501

Part Number: PIM486

CompanyPimoroni Part NumberPIM486

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€39⁰⁰

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Description
Specifications

Monitor your world with Enviro and Enviro + Air Quality for Raspberry Pi! There's a whole bunch of fancy environmental sensors on these boards, and a gorgeous little full-colour LCD to display your data. They're the perfect way to get started with citizen science and environmental monitoring!

Monitor your world!

Enviro is designed for indoor monitoring, letting you measure temperature, pressure, humidity, light, and noise level. It's great for keeping tabs on what's going on in rooms in your house, office, or elsewhere. Push the data to server and you can view the data remotely from anywhere.

Indoor monitoring with Enviro

Enviro is designed especially for indoor monitoring. The temperature, humidity, light, and noise readings can be used to keep track of conditions in your home and, combined with the LCD to display the data and the proximity sensor for interaction, it makes an ideal headless monitoring device.

Why not combine it with some IoT smarts like an Alexa skill so that you can ask what the temperature or humidity is? Or you could set up a trigger action with IFTTT that turns your Philips Hue lights on when the light level drops below a certain level. There's loads of possibilities!

BME280 temperature, pressure, humidity sensor (datasheet)
LTR-559 light and proximity sensor (datasheet)
MEMS microphone (datasheet)
0.96" colour LCD (160x80)
Pimoroni breakout-compatible pin header

pHAT-format board
Fully-assembled
Compatible with all 40-pin header Raspberry Pi models
Python library
Dimensions: 65x30x8.5mm

Software

We've put together a Python library to control all the parts of your Enviro and Enviro + Air Quality. There's a bunch of examples for each of the individual parts, all-in-one examples that shows you the data from the sensors in a visual way. There's also an example that shows you how to contribute data to Luftdaten (requires Enviro + Air Quality and particulate matter sensor).

Getting started

Have a read through our (exhaustive!) Getting Started with Enviro+ tutorial that walks you through how to install the software, how to run the code examples, and how to use the Python library.