Information
Table Of Contents
- A. Overview
- 1. Getting started
- 1.1 The BME688 Gas Sensor
- 1.2 Example: Coffee vs. Normal Air
- 1.3 A Few Things To Keep In Mind
- 1.4 Step 1: Record Normal Air
- 1.5 Step 2: Record Espresso Coffee
- 1.6 Step 3: Record Normal Air Again
- 1.7 Step 4: Record Filter Coffee
- 1.8 Step 5: Import & Label The Data
- 1.9 Step 6: Create New Algorithm and Classes
- 1.10 Step 7: Train And Evaluate The Algorithm
- 1.11 Step 8: Export The Algorithm
- 1.12 Conclusion
- 2. Introduction
- 2.1 What is it about? – An analogy
- 2.2 Why the BME688?
- 2.3 What is a use case for a gas sensor?
- 2.4 What is special about the BME688 gas sensor?
- 2.5 How can I evaluate BME688 performance for a specific use case?
- 2.6 How can I use the results for my product development?
- 3. Glossary
- 3.1 Sensor Board
- 3.2 Measurement Session
- 3.3 Algorithm
- B. Process Steps
- 1. Configure Board
- 1.1 Overview
- 1.2 Board Type
- 1.3 Board Mode
- 1.4 Heater Profile
- 1.5 Duty Cycle
- 1.6 Board Layout
- 2. Record Data
- 2.1 Overview
- 2.2 Start recording
- 2.3 During recording
- 2.4 End recording
- 3. Import Data
- 3.1 Overview
- 3.2 Data Overview
- 3.3 Board ID
- 3.4 Board Type
- 3.5 Board Mode
- 3.6 Session Name
- 3.7 Session Date
- 3.8 Specimen Data
- 4. Collect Specimens
- 4.1 Overview
- 4.2 Label
- 4.3 Comment
- 4.4 Session
- 4.5 Start & End Time
- 4.6 Duration
- 4.7 Cycles Total
- 4.8 Cycles Dropped
- 4.9 Remaining Cycles
- 4.10 Board Configuration
- 4.11 Board ID
- 4.12 Board Type
- 4.13 Board Mode
- 4.14 Show Configuration
- 5. Train Algorithms
- 5.1 Overview
- 5.2 Name
- 5.3 Created
- 5.4 Classes
- 5.5 Class Name & Color
- 5.6 Common Data
- 5.7 Data Balance
- 5.8 Data Channels
- 5.9 Neural Net
- 5.10 Training Method
- 5.11 Max. Training Rounds
- 5.12 Data Splitting
- 6. Evaluate Algorithms
- 6.1 Overview
- 6.2 Confusion Matrix
- 6.3 Accuracy
- 6.4 Macro-averaged F1 Score
- 6.5 Macro-averaged False Positive Rate
- 6.6 Training Data
- 6.7 Test Data
- 6.8 Additional Testing
- 2.1
Bosch Sensortec | BME AI-Studio Documentation 7 | 49
Modifications reserved | Data subject to change
without notice Document number: BST-BME688-AN001-00
1.7 Step 4: Record Filter Coffee
See: "3:36 - Step 4: Record Filter Coffee"
Finally, let us record the last specimen: filter coffee. Same procedure as with the espresso coffee: Place the filter coffee
in a second container, press “Button 1” on the board and place it in the container along with the coffee. Again, record
the gas composition for 30 minutes.
Once you are finished with your measurement session, you can just power off the board by unplugging the USB cable.
1.8 Step 5: Import & Label The Data
See: "4:04 - Step 5: Import & Label The Data"
Now it is time to open BME AI-Studio on your computer. Create a new project and select a location, where you want to
save it on your hard drive. Let us call the project “Coffee Example”. Then select Import data. Remove the SD card
from the BME board and select the file on the card with the ending .bmerawdata.
The application now gives you an overview of your recorded data. There is a plot showing you the data on a timeline.
First, give your measurement session a name. Let us call it “Coffee Session”.
As you can see below the plot, there are already four specimens defined – one that started with powering on the board,
and three that started when we pressed the buttons during measurement. On the left, there are input fields to label each
specimen. We measured normal air first, then espresso coffee, then again normal air, and finally filter coffee.
If you forgot to press a button during the measurement, you could define specimens manually here as well.
Select Import Data to finish. The data is now copied to the project folder on your hard drive.
Once the import is finished, you can see your four specimens in your Specimen Collection. The specimen collection
is where you can collect and manage all your recorded data for a specific project. If you select one of the specimens,
you can see all available details about this specimen on the right hand side.