As a long-time hardcore Aqara user, I’ve integrated almost all of their motion and presence sensors into my smart home setup. I own the Motion Sensor P1, Presence Sensor FP1E, and FP2 — all working seamlessly with my Apple HomeKit system.
However, I’ve noticed that the motion sensors are often too sensitive, especially in narrow spaces like hallways. That’s why I replaced them with FP1E and FP2 in the corridor.
Interestingly, FP1E performs very well for light automation, reliably detecting presence and triggering the lights. But the more advanced FP2 seems less sensitive — sometimes it doesn’t even trigger the light at all when someone enters the area.
I’ve already performed space mapping and scanning multiple times, but the issue still persists.
Has anyone else experienced this with FP2? Is there a specific setting or positioning trick I might be missing? I’d love to hear your feedback!
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@chenjiao_chem It’s wonderful to hear about your extensive experience with Aqara products, and it’s great that you’re integrating them seamlessly with your Apple HomeKit system! Your observation regarding the FP1E and FP2 is quite insightful.
The FP2 uses millimeter-wave technology, which is indeed more advanced but can sometimes be sensitive to environmental factors. Here are a few tips to enhance the sensitivity of your FP2 based on the reference information:
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Sensitivity Adjustment: Ensure that the presence detection sensitivity is set appropriately. Higher sensitivity can help detect subtle movements but may lead to false alarms in dynamic environments. For static areas like corridors, setting a lower sensitivity might be beneficial.
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Installation Location: Avoid placing the FP2 near reflective surfaces such as glass or metal that might interfere with the radar signals. Ensuring the installation height and angle are correct can also make a significant difference.
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Interference Configuration: Identify and mark interference sources, like fans or curtains, as these can affect the sensor’s performance. Setting these areas as interference zones might help reduce false negatives.
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Space Intelligent Learning: Conduct this when the area is unoccupied to refine the sensor’s recognition abilities and reduce environmental noise interference.
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Entrances and Exits Configuration: Properly setting up these configurations can improve the sensor’s ability to recognize and respond to entries and exits promptly.
I hope these suggestions offer some improvement. If the issue persists, it might be worth exploring further settings or consulting the community for more personalized tips. Keep us updated on your progress!
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@chenjiao_chem It’s great to see your enthusiasm and willingness to try out the suggestions! I hope the tips help enhance the performance of your FP2 sensor. If you have any more questions or if you’d like to share how it goes after implementing these changes, feel free to update us. Your experiences could be really valuable to others in the community. Happy smart home optimizing!