BME688 Training Across Varying Environmental Conditions

[kevin-north]

I'm currently training the BME688 gas sensor in a controlled lab environment to detect specific smells by adjusting pressure and temperature parameters. However, I'm unsure if the trained data will remain effective in real-world scenarios where temperature and pressure conditions may vary. Can anyone provide insights or experiences regarding the transferability of BME688 sensor training across different temperature and pressure environments? How reliable is the trained data when deployed in real-world conditions with varying atmospheric pressures and temperatures? Any guidance on ensuring the accuracy and reliability of sensor readings in such scenarios would be greatly appreciated. Thank you.

[BSTRobin]

Hi kevin-north,

Thanks for your inquiry.
BME AI-Studio can train the data of BME688, but when users deploy to the real-world conditions , they usually need to test it in the real-world conditions, because each user's real-world conditions is different.