Overview
Great and powerful sensor for everyone that wants to know the exact concentration of CO2(Carbon Dioxide) in the air.
This is the first CO2 sensor compatible with Arduino. The output voltage of the module falls as the concentration of the CO2 increases. The potentiometer onboard is designed to set the threshold of voltage. As long as the CO2 concentration is high enough (the voltage is lower than the threshold), a digital signal (ON/OFF) will be released.
- It has MG-811 sensor module which is highly sensitive to CO2 and less sensitive to alcohol and CO, low humidity & temperature dependency.
- Onboard heating circuit brings the best temperature for sensor to function. Internal power boosting to 6V for heating sensor best performance.
- This sensor has an onboard conditioning circuit for amplifying output signal.
To ease the difficulty of using this CO2 sensor, a Gravity Interface is adapted to allow plug&play. The Arduino IO expansion shield is the best match for this CO2 senor connecting to your Arduino microcontroller.
This is an electrochemical Arduino-based CO2 sensor, it is suitable for qualitative analysis.
- Air Quality Control
- Ferment Process Control
- Room Temperature CO2 concentration Detection
DOCUMENTS
Tech specs
| Operating Voltage | 5V |
| Interface | Gravity Analog |
| Surface | Immersion gold surface |
| Connector | High quality |
| Output | One digital output |
| Onboard | Heating circuit |
| Size | 32x42mm (1.26x1.65") |
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
