How gas sensing gets intelligent with BME688 and BME AIStudio long version











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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: • https://www.bosch-sensortec.com/produ... • https://www.bosch-sensortec.com/softw...

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