Four detection technologies, one honest comparison โ from an integrator that doesn't manufacture a single box. Learn which system actually fits your facility before anyone quotes you hardware.
We evaluate weapons detection from the buyer's side of the table. We don't build cameras, we don't write algorithms, and we aren't collecting royalties when a certain box gets specified. That independence shapes every recommendation on this page.
What it's not: a spec sheet. We won't list every model number or manufacturer SKU. If that's what you're after, we can build a shortlist specific to your facility during a call โ not on a public page that's outdated the moment a firmware version ships.
Four fundamentally different technologies. Each catches something the others miss. Here's the honest breakdown.
Cameras + Computer Vision
Software watches existing security cameras for a drawn firearm. When it sees one, it alerts staff โ typically within 2 to 8 seconds.
AI Sensor + EM Fields
Screens people as they walk through for hidden weapons using low-power electromagnetic fields and AI classification. Detects threat shapes โ guns, knives, IED components โ while ignoring phones, keys, coins.
Magnetic Field
A simple electromagnetic field detects ferrous and non-ferrous metals. The oldest, cheapest technology โ still widely deployed because it's understood and easy to maintain.
Acoustic Sensors + Triangulation
Outdoor acoustic sensors recognize a gunshot signature and triangulate the location within meters. It reacts after the shot โ but can be the fastest way to lock doors and dispatch responders.
"Are we trying to catch a concealed weapon at the door, or a drawn weapon somewhere inside?"
Concealed detection sees hidden weapons at choke points. AI gun detection sees brandished weapons anywhere a camera points. They solve opposite halves of the same problem โ one isn't a replacement for the other.
"Does our security posture require layered detection, or is one approach enough?"
Most facilities land on a combination: concealed screening at entries plus AI camera detection across the property. This catches both the person carrying and the person who pulls a weapon after passing through.
Detection accuracy in controlled benchmarks runs 97โ99% for leading AI concealed-detection systems. The real-world number that matters more: the nuisance-alarm rate.
Every false positive erodes trust. The first time a security team responds to a "gun" alert that turns out to be an umbrella, response times creep. By the tenth, they stop reacting. The best systems keep nuisance alarms well under 1% of total throughput โ and that's the threshold to ask every manufacturer to prove.
Start with your threat profile โ not a demo. The right technology depends on what you're protecting, your throughput, and your tolerance for friction.
Numbers are ballpark for a single entrance / single building in 2026 USD. Every deployment scales differently โ we quote firm numbers, not ranges with fine print, after walking your site.
| Technology | Hardware (one-time) | Annual / Recurring |
|---|---|---|
| AI gun detection | $0โ2k (server, if on-prem) | $5โ20/camera/mo SaaS |
| Concealed screening | $15kโ40k+/lane | $1kโ4k/yr (service) |
| Metal detection | $2kโ6k/unit | Minimal |
| Gunshot detection | $5kโ12k/sensor | Varies by coverage area |
We'll visit your facility, map entry points, understand your threat profile, and recommend the right technology โ not the one with the best rep spiffs. Send us a note or call Aaron directly at (843) 994-6940.
Request a facility assessmentStormont Vail Health, a major Kansas hospital system, replaced their traditional metal detectors with AI-powered concealed weapons detection. The result: firearms and knives intercepted that metal detectors had missed, without the divesting bottleneck that slowed patients and visitors at the ER entrance.