Intrusion detection systems monitor facilities for unauthorized entry — using door/window contacts, motion sensors, glass break detectors, and perimeter sensors to detect intrusions and trigger alarms, notifications, and video verification workflows. Modern systems integrate with access control and AI video analytics to reduce false alarms and improve response accuracy.
Traditional intrusion detection — alarm panels monitored by central stations — generates enormous false alarm volumes that desensitize responders and create police fee exposure. Verified alarm systems that combine sensor triggers with video confirmation dramatically reduce false dispatches while improving response to genuine intrusions. RLM advises on intrusion detection architecture, alarm verification design, and the monitoring approach that balances security with operational efficiency.
A structured advisory process — from use case definition and platform evaluation to deployment architecture and ongoing optimization.
We assess your current intrusion detection environment — sensor coverage gaps, false alarm rates by zone, monitoring service quality, and the response workflow gaps that affect detection-to-response time.
We design the intrusion detection architecture — sensor type selection by zone (PIR motion, door contacts, glass break, perimeter beam), zone definitions, panel architecture, and the tamper protection that prevents bypassing.
We design alarm verification workflows — linking intrusion alarm events to camera video clips for operator review before dispatch — reducing false alarm dispatches while ensuring genuine intrusions receive rapid law enforcement response.
We evaluate central monitoring station options and design the internal monitoring workflow — defining response protocols by alarm type, escalation paths, and the communication integration that notifies the right responders for each alarm scenario.
The dimensions that determine whether an IoT deployment delivers lasting operational value — and the questions RLM helps you answer before any commitment.
False alarms damage law enforcement relationships and generate fee exposure. Evaluate the false alarm causes in your environment — user error, environmental triggers, equipment failures — and the mitigation measures that reduce false alarm rates to acceptable levels.
Passive infrared (PIR), dual-technology (PIR + microwave), and image-based sensors have different false alarm rates and detection performance. Evaluate sensor technology against the environmental conditions of each zone.
Jurisdictions increasingly require verified alarms (visual or audio confirmation) before law enforcement dispatch. Evaluate video verification capabilities and the alarm response policy implications in your operating jurisdictions.
Intrusion systems must function during power outages — precisely when facility security is most vulnerable. Evaluate battery backup duration and the cellular communicator backup that maintains alarm transmission when primary network communication is disrupted.
Intrusion zones that correlate with access control partitions enable automatic arm/disarm based on the last credentialed exit. Evaluate access control integration quality and the edge cases that require manual arming to prevent false alarms.
"RLM helped us select and deploy an IoT platform across 28 facilities in under six months. Their vendor-neutral approach saved us from a costly mistake with our initial shortlist."
"We needed smart metering and energy management across our campus portfolio. RLM mapped the vendor landscape, ran the evaluation, and we're now hitting our ESG targets ahead of schedule."
Talk to an RLM advisor who specializes in enterprise IoT deployments. Independent guidance from platform selection through operational deployment.