Sense
Which rooms appear to be in use and what signals support that view?
The facilities team needs to plan around room use without a camera program or manual counts.
Available operational signals can be useful, but the team needs a clear distinction between an inference and an exact count.
A facilities leader needs to understand which spaces are active without adding cameras or asking staff to count people. Sense turns already collected network signals into a clearly labeled room-use view.
Give facilities a room-use view that shows the signals behind it.
- Derive a room-use inference from available PoE, mDNS, IGMP, reachability, and LLDP evidence.
- Place room-use context beside AV activity and energy context when those records exist.
Show the signals behind a room-use inference.
- Derives room-use signals from available PoE, mDNS, IGMP, reachability, and LLDP evidence.
- Connects room evidence to AV activity and energy context where data exists.

Open Sense in the record.
Open the resulting view, then review the evidence and the next safe action beside it.
Room-use evidence remains useful only when its signals, time window, and inference boundary stay visible. Facilities can plan around the observed activity while keeping the difference between a room-use signal and an exact headcount clear.
Selected room evidence and confidence

- Situation
The facilities team needs to plan around room use without a camera program or manual counts.
- Evidence
Derives room-use signals from available PoE, mDNS, IGMP, reachability, and LLDP evidence. Connects room evidence to AV activity and energy context where data exists.
- Result
Derive a room-use inference from available PoE, mDNS, IGMP, reachability, and LLDP evidence. Place room-use context beside AV activity and energy context when those records exist.
- Boundary and next action
Sense provides an inference, not an exact headcount or a surveillance record. Use Cleaning when room-use evidence should inform a facilities work queue.
