Neural Network Trained Indoor Air Quality Platform for Smart Odor Sensing

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ByDinesh Kumar 0

ZMOD4410 Indoor Air Quality (IAQ) Sensor Platform

Renesas has expanded its ZMOD4410 Indoor Air Quality (IAQ) sensor platform with the power of embedded artificial intelligence (e-AI) to provide smart odor sensing for ventilation systems, bathroom monitoring and controls, and air quality monitors. The enhanced platform combines neural network-trained firmware on various microcontrollers (MCUs) like Renesas RL78MCU to deliver high-resolution measurement results.

The unique software configurable ZMOD platform provides greater design flexibility to provide firmware updates in the field for enabling application-specific capabilities such as selective measurements to detect volatile organic compounds (VOCs). The firmware updates enable IAQ measurements within international guidance allowing customers to measure total VOCs (TVOCs) and IAQ in the low parts-per-million range (ppm). The high accuracy and consistency provide improved estimated Carbon Dioxide (eCO2) levels.

The ZMOD4410 platform can also indicate the presence of odors in small enclosed rooms with higher accuracy and better part-to-part deviation and it can distinguish between sulfur and ethanol-based odors. ZMOD4410 is the combination of programmability, best-in-class stability, and sensitivity in VOCs measuring, hence it is the best solution for IAQ applications including smart HVAC systems, ventilator fans, and bathroom lights and switches.

The ZMOD4410 is designed with proven metal oxide (MOx) material and each sensor is electrically and chemically tested for consistency from lot to lot, and an important advantage for manufacturers with long production runs. The ZMOD4410 devices are also highly resistant to siloxanes for superior reliability use in harsh applications. To know more about ZMOD4410, visit the official website of Renesas Electronics.

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