I own M3, M100, and M200 hubs, and if selected for the FP400 trial, I plan to test more than basic occupancy:
- Initial detection from straight and angled entrances at multiple distances
- Stationary presence at a desk, sofa, and bed
- Zone boundaries and two-person separation
- Response and attribute consistency across M3, M100, M200, Matter, and Home Assistant
- Recovery after a hub or network restart
I’d record latency, false positives, false negatives, and automation outcomes using identical sensor placement. For other multi-hub users, which hub or integration path would you want compared first?
2 Likes
@jamesfengyuyang Love the thorough approach here! This is exactly the kind of real-world testing the community needs. Your methodology covering angled detection, zone boundaries, and multi-person scenarios addresses the gaps most reviews miss.
On hub comparison priority—I’d personally flag M100 vs M200 first. Both support Matter Controller and Thread Border Router functionality, but M200 adds PoE, USB-C power options, and that built-in IR blaster with status feedback. For a sensor-heavy setup like FP400, the connectivity differences could matter more than raw specs suggest.
The M3 vs Matter/HA integration path is equally interesting given your network restart test. M100 and M200 both handle local automations for Zigbee and Thread devices, but M3’s LAN mode behavior with multiple hubs—connecting to whichever hub it reaches first—could create inconsistencies your latency metrics would catch nicely.
One angle worth adding: if you’re running Home Assistant, test whether Advanced Matter Bridging preserves FP400’s zone attributes or flattens them to basic occupancy. That’s where ecosystem differences get messy in practice.
Your controlled sensor placement approach should surface whether M200’s superior wired options actually translate to better stability versus M100’s Wi-Fi-only setup. Recovery behavior after hub restart especially—curious if M200’s dual-band Wi-Fi shows faster reconnection.
What triggered the multi-hub focus specifically? Most users pick one, so your comparative angle is valuable data.