There are four days left in the enrollment for the IDT ZMOD4410 Indoor Air Quality Raspberry Pi HAT roadtest


You can submit an application today by going here:!input.jspa?containerID=1069&containerType=700&roadTestID=2223&isR…


About the Renesas ZMOD4410 Indoor Air Quality Sensor Module

Providing best-in-class stability and sensitivity, the Renesas ZMOD4410 gas sensor module is designed to detect trace gases in various locations within indoor environments. It features embedded artificial intelligence (e-AI), enabling smart odor sensing for ventilation systems, bathroom monitoring and controls, and air quality monitors. It can be configured for use in individual rooms in homes and buildings, such as bathroom and kitchens, to solve unique air quality problems. The sensor is supplied with pre-compiled libraries.


It is a 12-pin LGA assembly (3.0 x 3.0 x 0.7 mm) that consists of a gas sense element and a CMOS signal conditioning IC. The module’s sense element consists of a heater element on a Si-based MEMS structure and a metal oxide (MOx) chemiresistor. The signal conditioner controls the sensor temperature and measures the MOx conductivity, which is a function of the gas concentration.


The measurement results can be read via an I2C interface with the user’s microprocessor, which processes the data to determine the TVOC concentration, IAQ rating and estimated carbon dioxide (eCO2) level. This flexibility makes the sensors in the ZMOD4410 sensor capable of providing a variety of measurement options by varying the method of operation or changing the firmware used to interpret the resistance measurements. Downloadable firmware libraries and source code provided by IDT enables detection of TVOC and odors and supports smart devices measuring IAQ that require low-power operation.






Block Diagram


ZMOD4410 Gas Sensor Moduleblock diagram



  • Sensor output based on AI machine learning algorithmic features:

– Measurement of total organic compounds (TVOC) concentrations and indoor air quality (IAQ)– Module algorithm estimates carbon dioxide level (eCO2)– Algorithm to set a control signal to trigger an external action based on IAQ and odor change– Algorithm to discriminate sulfur-based odors

  • Firmware for mobile, industrial, and consumer applications
  • Algorithm to set a control signal to trigger an external action based on IAQ and odor change
  • Renesas offers downloadable source files and compiled code, enabling a product road map of indoor air measurement innovation

Indoor Air Quality specifications


To roadtest the ZMOD4410 Indoor Air Quality Sensor Module, element14 chose to use the Avnet Renesas ZMOD4410 Indoor Air Quality HAT built for Raspberry Pi. The HAT features an on-board calibrated ZMOD4410 sensor that measures the concentrations of Total Volatile Organic Compounds (TVOC) and can estimate carbon dioxide (eCO2) levels. In addition to the ZMOD4410 sensor, the HAT incorporates a Renesas HS3001 Precision Relative Humidity and Temperature Sensor, along with software-controlled status LEDs.


Block Diagram

ZMOD4410 Pi HatZMOD4410 Pi Hat block diagram

BUY NOWFeatures

  • Convenient Raspberry Pi HAT form factor for evaluation, development and quick prototyping of products that monitor indoor air quality
  • Detects a wide range of TVOC, from parts-per-billion to parts-per-million and provides eCO2 levels
  • Sensors are chemically tested and factory calibrated
  • On-board user-adjustable power supply option and current measurement connection points
  • Supplied with pre-compiled Raspberry Pi OS test / validation application
  • Renesas offers licensed downloadable compiled code, enabling a product road map of indoor air measurement innovation

In addition to the  AVNET ZMOD4410 Pi HAT, we will be including a Raspberry Pi 3 Model B and a 16GB SD card.

Raspberry Pi 3 Model B

16gb sd card





About the Renesas Software

So far we've talked about the hardware in this roadtest. Let's now talk about the software. Since this is a commercial product, not an “open source." Hence, source code for the software is not provided. The Renesas is encrypted and requires a software license to download and obtain the binary libraries that make the sensor function. 1. To validate the HAT’s operation and begin measuring TVOC and eCO2 “out of the box” with a Raspberry Pi solution, Avnet provides a pre-compiled test application built with those algorithm libraries that runs under the Raspberry Pi operating system. You can download it here under "Software Downloads." 2. You can download Renesas’ Software License Agreement and procedure to download the ZMOD algorithm libraries and related confidential data by clicking here Scroll down to downloads and you will see files with a lock iconrenesas software downloads


Click the icon and you will be prompted to create a Renesas account. After your account is verified, you can click the file and you will be taken to the Secure Access Request.(Be patient. it takes some time to approve your account and get access.)


RoadTesting The ZMOD4410 Indoor Air Quality Sensor Module

There are two ways to approach this roadtest:

  • Basic Users (hobbyists, makers): You can run the demo provided by Avnet, which is easy to do and anyone familiar with the Pi should be able to do. This blog can give you some ideas.
  • Advanced Users (embedded developers, pro-makers, engineers. entrepreneurs): If you want to create a project (or anything beyond the demo), you will need to get a software license from Renesas, download the binaries, and work through the documentation. This requires a higher level of skill and more experience. Note: You will not be able to modify the algorithm due to Renesas’ license policy, nor can you re-distribute the licensed binary file.

Additional and Resource Information


To learn more about this roadtest, please go here: IDT ZMOD4410 Indoor Air Quality Raspberry Pi HAT