The new BME AI-Studio tool enables customers to train the BME688 gas scanner on their specific application, like in home appliances, IoT products or smart home.
▬▬▬▬ Chapters ▬▬▬▬▬▬
0:00 Introduction
0:25 The BME688 Gas Sensor
1:03 Example: Coffee vs. Normal Air
1:26 A Few Things To Keep In Mind
2:08 Step 1: Record Normal Air
2:48 Step 2: Record Espresso Coffee
3:19 Step 3: Record Normal Air Again
3:36 Step 4: Record Filter Coffee
4:04 Step 5: Import & Label The Data
5:37 Step 6: Create New Algorithm And Classes
6:38 Step 7: Train And Evaluate The Algorithm
8:55 Step 8: Export The Algorithm
9:09 Conclusion
It is all around us, but unless there is a problem, we usually do not concern ourselves with what is in the air that we breathe. In both indoor and outdoor environments, poor air quality can greatly impact our health and well-being.
The BME688 is the first gas sensor with AI and integrated high-linearity and high-accuracy
pressure, humidity and temperature sensors. It is housed in a robust yet compact 3.0 x 3.0
x 0.9 mm³ package and especially developed for mobile & connected applications where size and low power consumption are critical requirements.
The gas sensor can detect Volatile Organic Compounds (VOCs) and other gases such
as carbon monoxide and hydrogen, in the part per billion (ppb) range.
You can find more information here:
BME688 product website:
www.bosch-sensortec.com/produ...
www.bosch-sensortec.com/softw...