The SFM mass flow meters, and particularly the SFM3019, have seen a sudden increase of popularity due to the recent pandemic and there are numerous ongoing efforts to develop products in the medical ventilator fields and related segments. Thus, we've registered an increase in demand for software to evaluate, use and integrate our sensors into customer projects and products. After an intense team effort, our software group is proud to present a publicly available driver package to assist the customers' engineers on their journey from early evaluation of the sensor down to the final product.

1. ControlCenter with support for the current line of SFM sensors - ControlCenter provides a soft entry point to anyone interested the sensor performance. An SFM sensor is plugged into a SensorBridge and connected to a computer running ControlCenter.

2. Using the same SFM on SensorBridge setup as in the first step, a Python package [1] assists the customer in integrating the hardware setup with his specific use case and using his own software, thus moving away from ControlCenter. This can be done from the same computer as the one running ControlCenter or from a dedicated experiment setup based on a Raspberry Pi.

3. A generic "embedded" Driver [2] that runs on the customer's standalone prototyping hardware (i.e. without desktop computer). This could range from Raspberry Pis or Arduinos to other kinds of embedded boards in 3D printed cases. The same driver can then be used in the final product.

[1] https://pypi.org/project/sensirion-sensorbridge-i2c-sfm/ along with Python API documentation that is provided on https://sensirion.github.io/python-sensorbridge-i2c-sfm/0.1.0/api.html

[2] github.com/Sensirion/embedded-sfm/releases