Overview
These sensors are of the latest generation and measure:
- Atmospheric pressure
- Temperature and humidity
- Light intensity (in LUX, max 650)
To help you build projects and store the data collected locally, this shield has a slot for a microSD card (not provided).
There is a ready to use library with examples and methods to read values from the different sensors, that provides an easy and smooth integration path.
Sensors used :
Tech specs
| ICs |
LPS22HB |
| Input Voltage | 3.3V |
| Operating Voltage | 3.3V |
| Ranges |
Pressure: 260 to 1260 hPa |
| Communication | I2C/Analog |
| Length | 61 mm |
| Width | 25 mm |
| Weight | 32 gr. |
Conformities
Resources for Safety and Products
Manufacturer Information
The production information includes the address and related details of the product manufacturer.
Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
https://www.arduino.cc/
Responsible Person in the EU
An EU-based economic operator who ensures the product's compliance with the required regulations.
Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
Phone: +39 0113157477
Email: support@arduino.cc
Documentation
OSH: Schematics
The Arduino MKR ENV Shield is open-source hardware! You can build your own board using the following files:
EAGLE FILES IN .ZIP SCHEMATICS IN .PDF FRITZING IN .FZPZSensors used :
Learn more
Get Inspired
If you’re interested in embedded machine learning (TinyML) on the Arduino Nano 33 BLE Sense, you’ll have found a ton of on-board sensors — digital microphone, accelerometer, gyro, magnetometer, light, proximity, temperature, humidity and color — but realized that for vision you need to attach an external camera. In this article, we will show you how to get image data from a low-cost VGA camera module. We’ll be using the Arduino_OVD767x library to make the software side of things simpler. Hardware setup To get started, you will need: Arduino Nano 33 BLE Sense with headersOV7670 CMOS VGA Camera Module 16x female to female jumper wiresA microUSB cable to connect to your Arduino You can of course get a board without headers and solder instead, if that's your preference. The one downside to this setup is that (in module form) there are a lot of jumpers to connect. It’s not hard but you need to take care to connect the right cables at either end. You can use tape to secure the wires once things are done, lest one comes loose. You need to connect the wires as follows: Software setup First, install the Arduino IDE or register for Arduino Create tools. Once you install and open your environment, the camera library is available in the library manager. Install the Arduino IDE or register for Arduino CreateTools > Manage Libraries and search for the OV767 libraryPress the Install button Now, we will use the example sketch to test the cables are connected correctly: Examples > Arduino_OV767X > CameraCaptureRawBytesUncomment (remove the //) from line 48 to display a test pattern Compile and upload to your board Your Arduino is now outputting raw image binary over serial. To view this as an image we’ve included a special application to view the image output from the camera using Processing. Processing is a simple programming environment that was created by graduate students at MIT Media Lab to make
