Training Coffee Beans and Field Air

[BSTRobin]

Hi kd7eir,

Currently the best way to tackle sensor aging is by including data from both boards(old and new sensors) for training.

[BSTRobin]

Hi kd7eir,

Currently the best way to tackle sensor aging is by including data from both boards(old and new sensors) for training.

[Sebelo]

Thanks for your answers.

But could you please explain this sentence: Currently the best way to tackle sensor aging is by including data from both boards(old and new sensors) for training.

What do you mean by "old and new sensors" and what is meaning of "to tackle sensor aging "?

And one more question: How proportionally different is the battery consumption of a trained sensor and an untrained one at the same parameters?

Thank you!

[BSTRobin]

Hi Sebelo,

If you record data with sensor(old sensor) ,do the training with BME AI-Studio and generate configuration file. The configuration file is good for the current sensor(old sensor), but the accuracy will vary when it is used for other sensors(new sensors). Because the old sensor is aged, the new sensor is not aged.

Power consumption depends on the power consumption mode configuration of the sensor, which has little to do with training.