Constant false alarms quickly erode trust in the system. The following order gives the biggest improvement.

1. Lower sensitivity and tighten the region: restrict detection to what actually matters — the gate, the perimeter, the cash office — and exclude the road, tree shadows and public corridors.
2. Change the detection type: prefer human and vehicle detection over pixel-change motion detection. Class-based analytics filter out foliage, light shifts, rain and snow at source.
3. Handle lighting interference: the night-time IR-cut switch, streetlights and passing headlights all trigger alerts. Suppress alarms during the IR transition or lower night sensitivity.
4. Set sensible schedules and intervals: arm only outside working hours and suppress repeats of the same alarm within 30 seconds to cut notification noise sharply.

If nuisance alarms persist, capture a sample recording and ask the vendor to tune the algorithm thresholds or recommend a better-suited model.