GENERAL

Best AI Gun Detection Systems for Schools, Hospitals, and Enterprise (2026)

April 16, 2026 14 min read
Fact-checked 2026 comparison of the top camera-based AI gun detection platforms — IntelliSee, ZeroEyes, Omnilert, VOLT AI, Coram AI, Ambient.ai, Scylla, and Actuate — evaluated across DHS SAFETY Act tier, detection scope, verification model, integration depth, privacy architecture, processing location, and deployment requirements.

The AI gun detection market has matured into a field of roughly a dozen serious camera-based platforms, but only three of them hold a full or equivalent U.S. Department of Homeland Security SAFETY Act status that carries meaningful liability protection. This comparison evaluates IntelliSee, ZeroEyes, Omnilert, VOLT AI, Coram AI, Ambient.ai, Scylla, and Actuate across the seven dimensions that actually matter to security directors in 2026: DHS recognition, detection scope, verification model, integration depth, privacy architecture, processing location, and deployment requirements.

Executive Snapshot

Three platforms hold full-tier DHS SAFETY Act status. Only one runs 11 detection types on the same appliance.

If your sole requirement is vendor-verified gun detection with the largest K-12 installed base, ZeroEyes remains the obvious default. If you want gun detection unified with mass notification and automated response, Omnilert is the most complete stack. If you need a single platform that covers weapons, falls, slip hazards, loitering, unauthorized access, and seven other detection categories simultaneously from existing cameras, with DHS SAFETY Act QATT designation and on-premises processing, IntelliSee is the only platform currently built that way.

Everything else is a trade-off. This guide shows you which trade-off fits which environment.

AI Gun Detection Systems Compared at a Glance

This table summarizes the eight platforms evaluated in this guide. DHS tier, detection scope, and verification model are the three variables that drive most procurement decisions.

Platform DHS SAFETY Act Detection Scope Verification Processing
IntelliSeeCoralville, IA QATT
Approved Nov 2025
11+ types: firearms, falls, slip, loitering, unauthorized access, crowd, vehicle, cell phone, smoke/fire, perimeter, rooftop Customer-managed, direct alerts On-premises appliance
ZeroEyesPhiladelphia, PA Full Designation Firearms + knife detection, threat geolocation, analytics (limited release, Apr 2026) ZeroEyes Operations Center (24/7 human) Cloud + on-premises edge
OmnilertLeesburg, VA Full Designation
Approved Mar 2025
Firearms + integrated mass notification and emergency management Flexible: customer, third-party SOC, or Omnilert 5-Diamond centers Cloud
VOLT AIU.S.-based DT&E Designation Firearms, fights, medical emergencies, crowd, loitering, unauthorized access, 3D tracking VOLT SOC (24/7 human) Cloud (AWS)
Coram AIU.S.-based None Firearms, smoke, intrusions; natural-language custom alerts Direct (no third-party SOC) On-device (Coram Point) + cloud
Ambient.aiU.S.-based None Multi-threat with contextual scene analysis; enterprise focus Customer-managed Cloud
ScyllaAustin, TX None
SOC 2 + ISO 27001
Firearms, knives, fights, smoke/fire, fall, intrusion Customer-managed Cloud, on-prem, or edge
ActuateNew York, NY None Firearms, intrusions, loitering as VMS add-on modules Customer-managed Cloud or on-prem

How We Evaluated These Platforms

This comparison focuses exclusively on camera-based visual AI gun detection platforms that layer onto existing IP security cameras. Walkthrough and concealed weapons detection systems (Evolv, CEIA, Garrett, Xtract One) are a different technology category that solves a different problem. For a comparison between camera-based and walkthrough approaches, see our decision framework on visual AI versus walkthrough screening.

For teams running a formal procurement, IntelliSee's 2026 evaluation and proof-of-concept methodology for AI gun detection documents test protocols, acceptance criteria, and scoring templates.

Each platform was evaluated across seven dimensions that security directors consistently identify as decision-critical:

DHS SAFETY Act status. The 2002 Support Anti-Terrorism by Fostering Effective Technologies Act provides federal liability protection for designated anti-terrorism technologies. Full Designation is the most protective tier; Qualified Anti-Terrorism Technology (QATT) designation provides comparable protections on the Approved Technologies List. Developmental Testing and Evaluation (DT&E) Designation is a preliminary tier granted during DHS evaluation.

Detection scope. Some platforms detect only firearms; others detect multiple threat categories from the same video stream. Multi-threat platforms amortize hardware and integration cost across more use cases.

Verification model. Detections can route through a vendor-managed Security Operations Center, through customer-managed review, or directly to the end user without human review. Each model has implications for alert latency, staffing, and accuracy.

Integration ecosystem. The value of an alert depends on where it goes. Integrations with RapidSOS (911), VMS platforms (Milestone, Genetec, video management), access control, and mass notification (AtlasIED, Singlewire InformaCast) determine whether the alert triggers a coordinated response or sits in an inbox.

Privacy architecture. Facial recognition, biometric identification, and video retention carry BIPA, GDPR, and state-level legal exposure. Platforms that identify object classes without biometrically identifying individuals have a materially different privacy posture than platforms that profile people.

Processing location. On-premises processing keeps video inside the customer network and removes cloud-bandwidth dependency. Cloud processing simplifies deployment but creates ongoing bandwidth requirements and a different data-governance footprint.

Deployment requirements. Camera compatibility, network redesign requirements, and rack-space obligations determine how quickly the platform produces value after a purchase order.

Every platform listed here is a legitimate competitor. The evaluation focuses on documented capabilities and publicly verifiable claims, not marketing positioning.

IntelliSee AI gun detection overlay identifying a drawn firearm on an existing security camera feed with a bounding box and confidence label
Real detection output from an IntelliSee deployment. All screenshots in this guide are from operational customer environments, not simulated demos.

IntelliSee

Multi-Threat Detection Platform

IntelliSee: 11 detection types on one appliance

Coralville, Iowa|DHS SAFETY Act QATT Designated|NSCA EPI Award Winner

IntelliSee is the only platform in this comparison that runs 11 simultaneous AI detection models from a single on-premises appliance: firearms, fall events, slip hazards, unauthorized access, loitering, crowd formation, vehicle intrusions, cell phones, smoke and fire, perimeter breaches, and rooftop intrusions. All 11 run in parallel against the same existing IP camera feeds.

The platform holds DHS SAFETY Act Qualified Anti-Terrorism Technology (QATT) designation, approved November 24, 2025 and effective through January 31, 2031, covering its firearm detection analytics. Integration partners include RapidSOS (direct 911 connectivity with live camera feed and location data), AtlasIED (facility-wide lockdown announcements), Singlewire InformaCast (mass notification to every designated device), video management systems, and Gabriel Protects.

Processing runs on a 1U rack-mounted appliance inside the customer's network. No facial recognition, no biometric identification, no video retention. Alerts flow directly to the customer's security team — the organization controls verification rather than depending on a vendor-managed SOC queue.

Strengths

DHS SAFETY Act QATT designation. 11 simultaneous detection types from a single integration with no per-detection pricing. RapidSOS direct 911. On-premises processing. Deployed across education, healthcare, senior living, manufacturing, energy, houses of worship, and critical infrastructure. New detection models deploy automatically at no additional cost.

Considerations

Direct customer alerting requires the organization to have personnel available to review detections, though integrations automate most downstream response. Smaller brand footprint in K-12 compared to ZeroEyes. On-premises appliance requires rack space and power inside the customer network.

ZeroEyes

Centralized Human Verification

ZeroEyes: largest K-12 footprint, expanding scope

Philadelphia, PA|First full DHS SAFETY Act Designation in AI gun detection|Founded by U.S. Navy SEALs

ZeroEyes is the most widely recognized brand in AI gun detection, particularly in K-12 education. The company operates the ZeroEyes Operations Center (ZOC), a U.S.-based 24/7 monitoring center staffed by military and law enforcement veterans who review every detection before alerts reach the customer. The company states that verified alerts reach customers as quickly as three to five seconds from the moment the gun is detected.

In April 2026, ZeroEyes announced a limited-release expansion beyond firearm-only detection to add knife detection (blades six inches or greater), real-time threat geolocation (non-biometric tracking across multiple camera feeds), and a general analytics suite covering intruders, crowd formation, abandoned objects, and camera obstructions. The company also announced a 3D facility mapping partnership with Ark Strategic for first-responder situational awareness.

ZeroEyes holds full DHS SAFETY Act Designation and was the first AI-based gun detection platform to receive it. Deployments include public K-12 districts, the Department of Defense, higher education, healthcare, and Fortune 500 corporate campuses.

Strengths

First full DHS SAFETY Act Designation in AI gun detection. Largest K-12 installed base. 24/7 human verification by trained veterans. Expanding capabilities beyond gun-only. RapidSOS integration. Widely recognized brand trust in education procurement.

Considerations

Centralized verification introduces latency between detection and customer notification relative to direct-alert platforms. Detection scope beyond firearms is in limited release as of April 2026 and may not yet be available in every deployment. Verification model creates dependency on ZeroEyes operations center staffing and capacity.

Omnilert

Gun Detection + Mass Notification

Omnilert: the most complete response stack

Leesburg, VA|Full DHS SAFETY Act Designation (March 2025)|Founded 2004

Omnilert combines visual AI gun detection with a mature, deeply integrated mass notification and emergency management platform. The company was founded in 2004 as an emergency communications provider and layered gun detection on top of that foundation, giving it the most complete response automation in this comparison.

Verification is flexible: customers can self-verify, route to a third-party SOC, or use Omnilert's own UL-certified 5-Diamond monitoring centers. Once a detection is confirmed, the platform can trigger pre-planned workflows that include locking doors, sounding alarms, notifying first responders, broadcasting mass notifications, and taking over screens with emergency messages — all within seconds.

Omnilert received full DHS SAFETY Act Designation in March 2025 and appears on the DHS Approved Technologies List. The company emphasizes a data-centric AI training methodology with hand-curated real-world annotations, with AI expertise rooted in DoD and DARPA research.

Strengths

Full DHS SAFETY Act Designation. Mass notification, access control, and emergency workflow automation built into the same platform as detection. Flexible verification model. UL-certified 5-Diamond monitoring option. Strong education and healthcare deployments.

Considerations

Primarily a firearms-only detection platform. Organizations seeking multi-threat detection (falls, slip hazards, unauthorized access) need separate solutions. Cloud-based processing creates ongoing bandwidth requirements.

VOLT AI

Multi-Threat with 3D Mapping

VOLT AI: digital twin and post-concealment tracking

U.S.-based|DHS SAFETY Act Developmental Testing and Evaluation Designation|AWS infrastructure

VOLT AI positions itself as a unified multi-threat detection platform covering firearms, fights and bullying, medical emergencies, crowd formation, loitering, unauthorized access, and theft. The platform's most distinctive technical feature is 3D facility mapping with post-concealment tracking — the system maintains continuous tracking of an individual across the camera network even after a weapon is concealed, using non-biometric visual characteristics.

VOLT operates a 24/7 U.S.-based Security Operations Center that verifies every alert before notifying the customer. The platform holds a DHS SAFETY Act Developmental Testing and Evaluation (DT&E) Designation, a preliminary tier granted to anti-terrorism technologies under DHS evaluation. DT&E is a lower tier than full Designation but represents formally granted SAFETY Act status.

Strengths

Multi-threat detection beyond firearms. 3D facility mapping and cross-camera tracking after concealment. 24/7 SOC verification. Education-focused pricing and positioning. Active deployments in K-12 and higher education.

Considerations

DT&E Designation is a preliminary SAFETY Act tier, not full Designation. Cloud-only architecture creates ongoing bandwidth and data-governance considerations. Smaller documented deployment base than ZeroEyes, Omnilert, or IntelliSee.

Coram AI

Foundation Models, On-Device

Coram AI: natural-language alerts, no third-party SOC

U.S.-based|Battery Ventures-backed|Founded by former Lyft autonomous-driving executives

Coram AI is the most technically differentiated platform in this comparison. The company uses proprietary foundation models that run entirely on its Coram Point edge appliance with no internet dependency for detection. Once a potential firearm is flagged locally, the event is sent to the cloud for additional processing to reduce false positives, then an alert is delivered to the customer within seconds. No third-party monitoring center is involved.

Coram's most forward-looking capability is natural-language custom alerts: security teams can create alerts by describing a scenario in plain English rather than training a custom model. The platform's Journey feature supports cross-camera tracking of people or vehicles using non-biometric characteristics.

Coram does not currently hold any DHS SAFETY Act status. Deployments include Salem City Schools (Virginia) and pilot testing at Troy University Police Department.

Strengths

Foundation-model architecture with on-device processing. No internet dependency for detection. No third-party SOC delay. Natural-language alert creation without custom model training. Rapid deployment. Strong technical differentiation.

Considerations

No DHS SAFETY Act status of any tier. Smaller documented deployment base. No human verification layer — organizations that prioritize analyst confirmation before escalation may view this as a limitation. Relatively new entrant.

Ambient.ai

Behavioral and Contextual AI

Ambient.ai: scene context beyond object classification

U.S.-based|Enterprise-focused|VMS integration depth

Ambient.ai differentiates through contextual scene analysis that weighs spatial context, behavioral signals, and object relationships rather than relying on raw object classification alone. The platform targets enterprise and higher-education environments with strong thought leadership on false-positive reduction.

Ambient.ai does not currently hold DHS SAFETY Act status. The company's enterprise-focused deployment model and pricing typically align with Fortune 500 corporate campuses and research universities rather than K-12 budgets.

Strengths

Contextual and behavioral AI that considers scene context for detection decisions. Strong thought leadership content. Enterprise-focused deployment model with deep VMS integration. Multi-threat detection capabilities beyond firearms.

Considerations

No DHS SAFETY Act status. Enterprise focus and pricing may not align with smaller organizations or K-12 school district budgets. Less documented K-12 education deployment base.

Scylla

International Multi-Threat AI

Scylla: broad detection library, flexible deployment

Austin, Texas|SOC 2 + ISO 27001:2013|Global deployments

Scylla offers a broad AI video analytics library that includes firearms, knives, fight and violent behavior, smoke and fire, fall detection, and perimeter intrusion. The platform is camera-agnostic, works with most VMS platforms, and supports cloud, on-premises, and edge deployments including military-grade edge devices. The company has a significant international deployment footprint and partnerships including a co-developed REACT platform with Konica Minolta.

Scylla does not hold DHS SAFETY Act status but maintains SOC 2 and ISO 27001:2013 certifications for information security management. The company publishes detection-accuracy whitepapers and emphasizes long-range detection capability (firearms at 50m with 4K cameras, up to 100m with 8K).

Strengths

Broad multi-threat detection library. Camera-agnostic integration. Cloud, on-premises, or edge deployment options. SOC 2 and ISO 27001 certifications. Global deployments including defense and critical infrastructure.

Considerations

No DHS SAFETY Act status of any tier. Smaller U.S. K-12 deployment base than ZeroEyes or VOLT AI. Information on documented U.S. education references is limited in public sources.

Actuate

VMS-Integrated Analytics Add-On

Actuate: modular analytics for existing VMS stacks

New York, NY|VMS-integration focused|Cloud or on-premises

Actuate positions itself as a modular AI analytics layer that plugs into existing VMS platforms, with firearms detection as one module alongside intrusion detection and loitering. The architecture favors organizations that already have mature VMS deployments and want to add AI analytics without replacing infrastructure or adopting a separate platform.

Actuate does not hold DHS SAFETY Act status and operates without a native 24/7 verification service, relying on customer-side monitoring or integration with third-party SOCs. Brand recognition is lower than Omnilert or ZeroEyes in the K-12 and public-sector markets.

Strengths

Modular architecture integrates cleanly with existing VMS investments. API-driven customization. Cloud or on-premises deployment. Lower-friction adoption for organizations with mature existing security stacks.

Considerations

No DHS SAFETY Act status. No native 24/7 human verification. Broader analytics focus rather than firearms specialization. Lower brand recognition in public-sector procurement.

Decision Framework: Choosing the Right Platform

K-12, vendor-verified

ZeroEyes. Largest installed base and brand recognition in education. Centralized human verification designed for districts without in-house SOC infrastructure. First platform to receive full DHS SAFETY Act Designation.

Detection + notification

Omnilert. The most complete single-vendor stack combining gun detection with mass notification, access control, and automated response workflows. Full DHS SAFETY Act Designation. Two decades of emergency-communications foundation.

Multi-threat + DHS status

IntelliSee. The only platform in this comparison that covers 11 detection categories simultaneously from a single on-premises appliance with DHS SAFETY Act QATT designation. Broad industry deployment across healthcare, education, senior living, manufacturing, energy, and critical infrastructure.

Maximum deployment speed

Coram AI. On-device foundation-model architecture with no internet dependency for detection and no third-party SOC. Natural-language custom alert creation. Fastest path to first alert for organizations willing to operate without SAFETY Act liability protections.

Post-concealment tracking

VOLT AI. Strongest 3D facility mapping and cross-camera tracking after a weapon is concealed. Carries DT&E Designation under the SAFETY Act. Well-suited to higher-education and K-12 campuses with complex multi-building environments.

Contextual enterprise AI

Ambient.ai. Contextual scene analysis and behavioral AI for Fortune 500 corporate campuses and research universities with mature enterprise security operations.

International multi-threat

Scylla. Broad detection library with long-range capability, flexible edge-to-cloud deployment, and significant international footprint. SOC 2 and ISO 27001 certified.

VMS-integrated add-on

Actuate. Modular analytics layered onto existing VMS investments without replacing infrastructure. Appropriate when AI detection is one component of a broader existing security stack.

The Intelligence Brief

The question every vendor should answer

Before selecting any platform in this category, request documented customer references in your specific industry vertical who will confirm that the claimed detection capabilities are operational in their environment. Request documented DHS SAFETY Act status (with effective dates from the DHS Approved Technologies List at safetyact.gov), written confirmation of your privacy-architecture requirements (facial recognition, biometric capture, video retention), and integration-partner references for your specific VMS and mass-notification stack. Marketing claims and scripted demo environments are not a substitute for operational evidence from facilities similar to yours.

Common Questions

What is the best AI gun detection system for schools in 2026?

There is no single best platform for every school. ZeroEyes has the largest K-12 installed base and a centralized human-verification model that many districts prefer for procurement and legal defensibility. IntelliSee holds DHS SAFETY Act QATT designation and adds 10 additional detection types beyond firearms on the same appliance, which many districts use to justify the investment across multiple safety categories including falls, slip hazards, and perimeter control. Omnilert pairs full SAFETY Act Designation with an integrated mass notification stack, which is a strong fit for districts without existing notification infrastructure.

Do AI gun detection systems have DHS SAFETY Act designation?

Some do, and the tier matters. Full SAFETY Act Designation is held by ZeroEyes and Omnilert. Qualified Anti-Terrorism Technology (QATT) designation is held by IntelliSee. VOLT AI holds a Developmental Testing and Evaluation (DT&E) Designation, a lower preliminary tier. Coram AI, Ambient.ai, Scylla, and Actuate do not currently hold any SAFETY Act status. Designation tiers affect liability protections under the 2002 SAFETY Act when the technology is deployed against acts of terrorism. The DHS Approved Technologies List at safetyact.gov provides authoritative current status for every designation.

Can AI cameras detect concealed weapons?

No. Camera-based AI gun detection identifies visible, drawn, or brandished firearms only. It cannot see weapons concealed under clothing, inside bags, or in vehicles. Organizations concerned about concealed weapons at controlled entry points should evaluate walkthrough detection systems as a complementary layer. See our decision framework comparing visual AI to walkthrough screening.

How fast do AI gun detection systems send alerts?

Alert speed depends on the verification model. Direct-alert platforms like IntelliSee and Coram AI can notify the customer within seconds of detection. Vendor-verified platforms like ZeroEyes and VOLT AI add a human review step that typically resolves in three to fifteen seconds depending on queue depth and incident complexity. Omnilert supports both direct and verified workflows. Actual end-to-end response time depends heavily on downstream integrations (RapidSOS, mass notification, access control) rather than detection speed alone.

See It On Your Cameras

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AI-powered threat detection that activates in seconds on the cameras you already own. No hardware replacement. Request a walkthrough and see a live demonstration of your facility's detection capabilities, backed by DHS SAFETY Act QATT designation.

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