IAQ sensors take advantage of AI for odour sensing

June 10, 2020 //By Julien Happich
Indoor air
Renesas Electronics has expanded its popular ZMOD4410 Indoor Air Quality (IAQ) sensor platform with embedded artificial intelligence (e-AI), enabling smart odour sensing for ventilation systems, bathroom monitoring and controls, and air quality monitors.

The enhanced platform combines neural network-trained firmware on various microcontrollers (MCUs), such as the Renesas RL78 MCU, to provide higher resolution measurement results. With these new capabilities, the ZMOD4410 platform is capable of not only detecting gases that indicate the presence of odours in small enclosed rooms with higher accuracy and  improved part-to-part deviation, but can also distinguish between sulfur- and ethanol-based odours. The upgrades are the first in a family of e-AI-based firmware solutions from Renesas.

The company’s unique software-configurable ZMOD platform provides greater design flexibility for smart sensing systems, allowing firmware upgrades in the field that enable new, application-specific capabilities such as selective measurements to detect volatile organic compounds (VOCs). The new firmware upgrades enable IAQ measurement within international guidelines, allowing customers to measure total VOCs (TVOCs) and IAQ in the low parts-per-million range (ppm). The higher accuracy and consistency provides improved estimated Carbon Dioxide (eCO2) levels. The ZMOD4410 AI firmware has been implemented on a Renesas RL78 MCU, but can also be implemented on any Renesas MCU – including RE, RA, or RX devices – or other general-purpose MCUs.

Renesas Electronics – www.renesas.com


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