Overview
You can see the current oxygen concentration from reading the voltage values output proportional to the concentration of oxygen on the oxygen concentration linear characteristic graph. It’s suitable for detecting oxygen concentration in the environment. Grove - Gas Sensor(O2) is an organic reaction module and it provides a small current in relation to the amount of O2 in the air, hence we don’t need to provide an external power.
Features
- High-precision
- High sensitivity
- Wide linearity range
- Strong anti-interference ability
- Extraordinary reliability
Tech specs
Specification
|
Items |
Parameter |
|
Measurement Range |
0-25% |
|
Detect Life |
two years |
|
Sensitivity |
0.05~0.15 mA (in air) |
|
Temperature Range |
-20 oC~50 oC |
|
Preheat Time |
20 minutes |
Get Inspired
A quick tutorial on how to interface the voice recognition module with few examples.
For people not familiar with American Sign Language (ASL), being able to recognize what certain hand motions and positions mean is a nearly impossible task. To make this process easier, Hackster.io user ayooluwa98 came up with the idea to integrate various motion, resistive, and touch sensors into a single glove that could convert these signals into understandable text and speech. The system is based around a single Arduino Nano board, which is responsible for taking in sensor data and outputting the phrase that best matches the inputs. The orientation of the hand is ascertained by reading values from the X, Y, and Z axes of a single accelerometer and applying a small change based upon prior calibration. Meanwhile, resistive flex sensors spanning the length of each finger produce a different voltage level according to the bend’s extent. At each iteration of the program’s main loop, a series of Boolean statements are evaluated to pick the phrase that best matches the current finger bends and hand orientation, and this data is then outputted via the UART pins to an attached Bluetooth® HC-05 module. The final component is a connected phone running a custom app that takes the incoming words from Bluetooth® and saves them for text-to-speech output when the button is pressed. To see more about this project, you can read ayooluwa98’s write-up here on Hackster.io.
