Vendor-Neutral Buyer's Guide

Weapons detection, without the sales pitch.

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.

By Aaron Austin ยท Aura Security22+ yrs ยท 20+ platformsUpdated Jun 2026
Live ยท Threat Screening
4
Detection approaches compared
20+
Certified platforms
22+
Years of experience
0
Cameras or scanners we make
TL;DR Four categories of weapons detection exist โ€” AI gun detection watches cameras; concealed-weapons screening scans people at entrances; metal detectors are the budget option; and gunshot detection reacts to acoustic reports. Each has a different job. Most facilities need a layered approach combining at least two. Jump to comparison
2โ€“8s
Typical detection-to-alert window
97โ€“99%
Detection accuracy (concealed AI)
<1%
Nuisance-alarm rate target
~60s
Average per-person throughput
Section 01

The basics โ€” what this guide covers, and what it doesn't.

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 this guide is: a practical comparison of four technologiesโ€”how they work, what they catch, what they cost, and where they belong. Informed by real deployments, not marketing decks.

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what you're after, we can build a shortlist specific to your facility during a call โ€” not on a public page that's outdated the moment a firmware version ships.

Section 02

The four approaches to weapons detection.

Four fundamentally different technologies. Each catches something the others miss. Here's the honest breakdown.

AI gun detection (video-based)

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.

2โ€“8s detection Works on existing cameras Visible weapons only Cannot see concealed

Concealed-weapons screening

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.

97โ€“99% accuracy No divesting ~60 people/min Entrance-only

Metal detection (archway & handheld)

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.

$2kโ€“6k/unit High nuisance alarms Requires divesting Metal only

Gunshot detection (acoustic)

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.

<1s detection Outdoor only Reactive, not preventive Wide coverage
Section 03

Cameras vs. screening โ€” the two questions that tell you which you need.

Question 1

"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.

Question 2

"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.

The Honest Math

Accuracy matters โ€” but what matters more is what happens when it isn't accurate.

Detection accuracy in controlled benchmarks runs 97โ€“99% 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.

What to ask every vendor
"Show me your nuisance-alarm rate for a facility my size โ€” not your lab benchmark."
"What weapons does your algorithm actually look for? Some only classify guns. Others also flag knives, IED components, and long guns."
"How often does your model update? Threats evolve โ€” the classifier should too."
"Can you show me a live dashboard from a deployment similar to mine โ€” not a pre-recorded demo?"
Section 04

Which approach fits your facility?

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.

Find your facility type
Section 05

Each type, in depth โ€” how they work, where they work, and what they actually cost.

AI gun detection (video-based)

Software-only layer on existing IP cameras โ€” no new hardware required at the camera level
Detects visible, brandished firearms; cannot see through clothing or bags
Alert latency: typically 2โ€“8 seconds from frame to security desk
Cost: usually $5โ€“20 per camera per month (SaaS); some on-prem options available
Best for: schools, offices, retail โ€” any facility with existing camera infrastructure
Integration: pushes alerts into VMS, access control, mass notification, and mobile apps

Concealed-weapons screening

Walk-through or wall-mounted panels using AI-classified electromagnetic fields
Detects concealed threat shapes; ignores phones, keys, coins, belts
Throughput: ~60 people/minute; no divesting required
Accuracy: 97โ€“99% detection with <1% nuisance-alarm rate on leading platforms
Cost: $15kโ€“40k+ per lane (hardware); some vendors offer subscription models
Best for: entrances, checkpoints, venues, hospitals, courts
Section 06

What weapons detection actually costs โ€” honest numbers, no bait pricing.

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 $0โ€“2k (server, if on-prem) $5โ€“20/camera/mo SaaS
Concealed screening $15kโ€“40k+/lane $1kโ€“4k/yr (service)
Metal detection $2kโ€“6k/unit Minimal
Gunshot detection $5kโ€“12k/sensor Varies by coverage area
Let's talk about your facility

Every manufacturer claims 99%. We help you figure out which one actually delivers.

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 assessment
Section 07

Questions we hear on every assessment call โ€” answered honestly.

Case Study

Stormont Vail Health โ€” moving from metal detection to AI screening.

Stormont 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.

Read the full story
Key Outcomes
Threats detected that traditional metal detectors missed โ€” including non-metallic weapons and concealed firearms
No divesting required โ€” patients and visitors walk through without removing phones, keys, or belts
Higher throughput at emergency department entrances without compromising security
Pacemaker-safe operation across all screening points
Vendor-neutral โ€” we don't make hardware 20+ certified platforms 22 years in commercial security
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