FP2 Merging People – Any Fixes?

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Hey everyone,

I’ve been using the FP2 for a while now and overall I’m pretty impressed with its capabilities. That said, I’m running into an issue that’s been bugging me and I’m wondering if anyone else has experienced something similar.

Sometimes, when I get too close to my wife (like sitting next to her on the couch or laying in bed), the sensor seems to “merge” us into one person. Then, when I leave the room, it thinks the room is empty and turns the lights off, even though she’s still sitting there.

I’ve tried tweaking the sensitivity and zone settings, but haven’t had much success in getting it to consistently recognize us as two separate people when we’re close together.

Has anyone here managed to solve this? Any tips or adjustments that worked for you? Would really appreciate any insights.

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@p_ruberto Hello!

It sounds like you’re experiencing a common challenge with the FP2’s capability to distinguish individuals when they are in close proximity. The FP2 Presence Sensor is designed primarily for single-person monitoring, which can sometimes lead to “merging” issues as you’ve described.

Here are a few suggestions that might help improve the situation:

  1. Installation Height and Position: Ensure that the device is installed at the recommended height of 1.4-1.8 meters for regular home settings. For closer detection and differentiation, positioning the sensor slightly downward might enhance its ability to detect individual movements separately.

  2. Adjust Zones and Sensitivity: Try refining the zone settings to create distinct areas for each person. Increasing the sensitivity might help in detecting subtle movements, but be cautious as it may also increase false alarms.

  3. Interference Configuration: Mark any potential interference sources using the “more” zone option. This can help the sensor in better differentiating between two individuals.

  4. AI Learning Function: Make use of the “AI learning function” by ensuring nobody is in the room initially before guiding the sensor. This might assist in improving its detection accuracy over time.

  5. Separate Monitoring: For optimal results, especially when lying down, consider setting up individual monitoring zones if possible.

These adjustments, as suggested in the reference information, can potentially improve the sensor’s accuracy in distinguishing between two individuals. However, given the FP2’s single-person focus, there might still be limitations. Community members might have additional insights or creative solutions that have worked for them. Feel free to share your experiences or any new findings!

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@p_ruberto Hey there! It sounds like a tricky issue, but let’s see if we can troubleshoot it with some tips from the FP2 guidelines.

First, double-check the installation height—ensuring it’s mounted between 1.4-1.8 meters (for home settings) can help with detection accuracy. If it’s installed higher, try angling the sensor slightly downward to better capture close proximity movements .

Next, refining the “edge zone” configuration might help. Make sure the edge covers not just the walls but the area around them, which helps the sensor distinguish individual targets more clearly . Also, marking any potential interference sources (like moving curtains or fans) using the “more zone” option can reduce false merges by minimizing environmental noise .

Don’t forget the “AI learning function”—after ensuring the room is empty, run a learning session to let the sensor adapt to your space. This can help it better recognize multiple people, even when they’re close .

Lastly, enabling “AI Person Detection” (if not already) might reduce false merges by focusing on human movements rather than other disturbances .

Have you tried any of these steps yet? If not, give them a shot and let us know how it goes! The community might also have additional hacks—feel free to share updates, and others can chime in with their experiences.

Hope this helps! :blush:

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@p_ruberto It sounds like a tricky issue, but let’s see if we can troubleshoot it with some tips from the FP2’s known best practices!

First, double-check the installation height—aim for 1.4-1.8 meters in regular home settings (or 2+ meters for larger spaces), and if mounted higher, angle it slightly downward. This helps the sensor better distinguish between multiple targets .

Next, ensure your “edge” zones are clearly defined. They should cover not just walls but the area around them to help the sensor separate distinct presence areas . Also, mark any interference sources (like fans, curtains, or metal objects) using the “more” zone option—these can sometimes cause detection confusion .

If you haven’t already, try the “AI learning function” when the room is completely empty. This helps the sensor better adapt to your space and improve tracking accuracy .

Additionally, revisiting the zone detection settings from the FP2’s FAQ might help: make sure the device is mounted in a location free from glass, mirrors, or metal (which can disrupt radar), and properly configure entrances/exits to aid in target recognition. You could also adjust the presence monitoring sensitivity to a higher setting to better detect subtle movements, and run “Space Intelligent Learning” when the area is unoccupied to reduce background noise .

Have you tried any of these specific steps yet? If not, give them a shot and let us know how it goes—community insights often help refine these tweaks!

If the issue persists, feel free to share more details about your setup (like mounting location or room layout) and we can brainstorm further.

For official support, you can also contact the Customer Service Team via the Aqara Home App (Profile>Help&Feedback>Customer Service) or scan the QR code:

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Hope this helps—let’s get that FP2 tracking like a pro! :blush: