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    • SEK-SensorBridge (Evaluation Kit)
    • SEN5x Environmental Sensor Node
    • SCD4x CO2 Sensors
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    • SGP40 VOC Sensor
    • SHT4x Humidity and Temperature Sensors
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      Start testing our sensors

      Here you can find all information for evaluating and testing Sensirion's latest sensor solutions. From drivers and software to tutorials and quick start guides - we try to offer all tools necessary so that you can kick-start your application!

  • Partner Spotlight
    • Partner Spotlight SparkFun
    • Partner Spotlight MikroElektronika
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    • Platforms
      • Environmental Sensor Shield
      • Smart Gadget Development Kit
      • Wearable Development Kit
      • Raspberry Pi
      • Qualcomm Snapdragon
      • Arduino
      • Cypress PSoC Series
      • Generic Linux Support
      • Thingstream MQTT IoT Sensor Starter Kit
    • Applications
      • Sensors for Ventilation
      • CO2 Monitor Reference Design
      • SHTC3 BLE Beacon Development Kit
      • Directional Wind Meter Using SDP3x
      • Smart Speaker
      • Archive
        • On/Off Body Detection
        • Perspiration
        • Antifogging in VR Goggles
    • Labs
      • #21 - Using an RJ45 Breakout Board Connect with Evaluation Kit Cables
      • #20 - Integrate Flex-PCB Sensors into Prototyping Setups
      • #19 - Smart Factory Particle Monitor Network
      • #18 - Inhalation Application Benefits
      • #17 - Sleep Analysis and Pulse Monitor
      • #16 - Thermal Comfort Sensor
      • #15 - Anti-Fogging for Bathroom Mirrors
      • #14 - Improved Puff Sensing of Inhalation Devices
      • #13 - Spirometer
      • #12 - Breath Detection
      • #11 - Stress, Mood and Emotion Sensing
      • #10 - CO2 Sensing in Car
      • #9 - Milk Fat Concentration Sensor
      • #8 - Presence Detection with IR Sensor
      • #7 - RH Sensor Trigger for BLE Beacon
      • #6 - Smart Inhaler
      • #5 - Windshield Ice Detector
      • >> See All Labs Ideas
    • Tutorials
      • Wearable Development Kit: Build Your Own Device
      • Wearable Development Kit: Logging Data
      • Raspberry Pi: SFM Software Package
      • Raspberry Pi: Alexa with Indoor Air Quality
      • Raspberry Pi: Using Flow Sensors
      • Raspberry Pi: Weather Station
      • Arduino: Create Your Own CO2 Monitor
      • Arduino: Stand-Alone Liquid Flow Meter
      • Arduino: Interface for Liquid Flow Sensors
      • Arduino: Weather Station
      • Arduino: Closed Loop Volume Controller Using Liquid Flow Sensors
      • Arduino: Interface for Multiple SF06 Liquid Flow Sensors
      • Arduino: Interface for SF06 Liquid Flow Sensors with Level Shifter
      • Arduino: CAN Bus Flow Meter
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  • Raspberry Pi: SFM Software Package

SFM Software Package

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.


From Evaluation to the Final Product

The following package is comprised of the following items that address different stations on the way from sensor evaluation 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

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