power of embedded artificial intelligence (e-AI), enabling 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, such as the Renesas RL78 MCU, to provide higher resolution measurement results.
The ZMOD4410 platform is capable of not only detecting gases that indicate the presence of odors in small enclosed rooms with higher accuracy and improved part-to-part deviation, but can also distinguish between sulfur- and ethanol-based odors. The upgrades are the first in a family of e-AI-based firmware solutions. The multi-dimensional sensor approach enables the upgraded ZMOD4410 platform gives customers flexible high-accuracy options to customize ventilation, odor monitoring, and control systems.
Renesas’ software-configurable ZMOD platform provides design flexibility for smart-sensing systems, allowing firmware upgrades in the field for application-specific capabilities such as selective measurements to detect volatile organic compounds (VOCs). The new firmware upgrades enable IAQ measurement within international guidelines, allowing measurement of 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. Based on proven metal oxide (MOx) tech, each sensor is electrically and chemically tested to ensure consistency from lot to lot, and are also highly resistant to siloxanes for reliability in harsh environments.
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