AI Video Analytics Cut False Alarm Rates
Machine learning models trained to distinguish human intruders from pets, weather, and shadows are replacing simple motion detection across new panel installations, addressing the false alarm problem that has driven police departments in dozens of major cities toward verified-response-only dispatch policies. Vendors report false alarm rates falling from roughly thirty percent under legacy motion sensors down to below ten percent with AI-based video verification deployed at scale. This accuracy improvement has become a primary purchasing criterion for both residential customers avoiding municipal fines and commercial customers managing large, multi-site security portfolios.
Market Impact: Mandates wiring in 2026 codes








