In your experience, what are the best techniques to increase measurement accuracy when using the Acura Presence Sensor (FP2)?

I have an FP2 sensor and it works very well. My only problem is that sometimes it recognizes shadows (it looks like it finds a ghost :smile:). Because of that, I have to add those areas to the grab zone. Is there any trick to be more precise and increase accuracy without getting these weird recognitions?

6 Likes

@dr_aghazadeh65 Sorry to hear about the “ghost” shadows causing false recognitions—let’s troubleshoot that! To boost accuracy and reduce these glitches, here are some targeted tricks based on the FP2’s features:

  1. Installation Location Check: Avoid placing the sensor near glass, mirrors, or reflective surfaces—these can create shadow-like reflections that trigger false detections. If you can’t move the sensor, position these reflective elements in the FP2’s blind spots (outside its 120° horizontal detection range).

  2. Edge Settings: Use “Edge” configuration to counteract false targets from wall or object reflections. Mark areas beyond walls or non-detection zones as edges—this helps the sensor ignore reflected signals that might mimic shadows.

  3. Interference Source Marking: If shadows stem from moving objects (like swaying curtains or plants), mark those areas as “interference sources.” This tells the sensor to disregard such movements.

  4. Space Intelligent Learning: Run “Space Intelligent Learning” when the area is empty. This helps the sensor adapt to your environment, reducing background noise and shadow-related false alarms.

  5. AI Person Detection: Enable this feature to prioritize human movements, lowering the chance of “ghost” recognitions from non-human triggers like shadows.

This information comes from community discussions and user experience summaries and may vary by environment. Please verify carefully. Give these a try—hope they help banish those shadows! :blush: