The US082-FS2012EVZ board enables quick prototyping of the FS2012 mass air flow sensor module in a custom system design. The board provides a standard Pmod™ Type 6A (Extended I2C) connection for the on-board sensor to plug into any desired MCU evaluation kit with a matching connector.

The US082-FS2012EVZ features Pmod connectors on both sides of the board to allow additional Type 6/6A boards to be connected in a daisy-chained solution with multiple sensors on the same MCU Pmod connector. Thanks to the standard connector and software support, the US082-FS2012EVZ is ideal for Renesas’ Quick-Connect IoT to rapidly create an IoT system.


  • FS2012 sensor sample mounted:
    • Thermo-transfer (calorimetric) principle utilizes MEMS thermocouples to measure flow, which provide excellent signal-to-noise ratio
    • Resistant to surface contamination
    • No cavity to cause clogging
    • Resistant to vibration and pressure shock
    • High-temperature flow housing
  • Standardized Type 6A Pmod connector supports I2C Extended interface
  • Dual connectors allow pass-through signals for daisy-chained solutions



Title Type Date
Manual - Development Tools

Design & Development

Software & Tools

Software & Tools

Quick-Connect IoT PlatformQuick-Connect IoT platform enables fast prototyping by providing compatible hardware and software building blocks. Other Hardware Renesas
Sensor Software Modules for Renesas MCU PlatformsMiddleware (FIT module and FSP module) and sample software packages that enable control and data acquisition for Renesas sensor products. Sensor Renesas



Quick-Connect IoT External Link
Lab on the Cloud

Lab on the Cloud

Renesas' Lab on the Cloud is an online environment where Renesas solutions, including popular evaluation boards, winning combinations and software, are hosted in a remote lab that customers access and test online.

Gas Flow Sensor Solution

This enables quick prototyping of the FS2012 mass air flow sensor module, where users can control the flow rate and capture the reading and linearity of sensor data.