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content/hardware/06.nicla/boards/nicla-sense-env/tutorials/03.elevator-monitoring-application-note/content.md

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@@ -96,19 +96,32 @@ The **Nicla Sense Env** is a sensor shield that must be controlled by a host, in
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One of the project's main features is the environment variables sensing, this is possible using the **ZMOD4410** indoor air quality sensor featured by the **Nicla Sense Env**.
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The ZMOD4410 is a gas sensor module designed for easy implementation to detect total volatile organic compounds (TVOC), estimate CO₂ and monitor air quality (IAQ).
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The ZMOD4410 is a gas sensor module designed for easy implementation to detect total volatile organic compounds (TVOC), estimate CO₂ and monitor indoor air quality (IAQ).
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The sensor can output air quality in the following three ways:
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- **Renesas IAQ Rating**: 0 - 5 (being 0 the cleaner and healthier air)
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- **Interpreted Air Quality**: in words, "Very Good", "Good", "Medium", "Poor" and "Bad"
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- **Relative Air Quality**: 0 - 500 (being 0 the cleaner and healthier air)
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We are going to use the **Relative Air Quality** range because it will give us a more accurate and sensitive range to measure variations in the air quality, use the following table for reference:
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![Relative Air Quality table](assets/AQI.png)
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### Visual Air Quality Feedback
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The system features a real-time visual feedback to warn the occupants of the elevator so they know the current air quality status in any time and take the right preventive measures.
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Using the Modulino Pixels the system will display the colors corresponding to the Air Quality Index shown in the table from above.
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![Modulino Pixels feedback system](assets/led-feedback.gif)
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### Machine Vision for People Counting
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The Nicla Vision will use a built-in FOMO model for face detection, with a very simple python script it will be able to report through I2C the faces count on a single frame covering the whole elevator.
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![Nicla Vision people counting](assets/nicla-count.png)
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### Portenta H7 Code
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### Nicla Vision Code

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