GITNUXSOFTWARE ADVICE
Public Safety CrimeTop 10 Best Gun Detection Software of 2026
Ranked roundup of gun detection software for security teams, comparing Omnilert, Panic Technology, and Actuate AI by features and tradeoffs.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Omnilert Gun Detection is the safest pick for centralized security teams that need visible-firearm alerts to drive governed escalation, while Panic Technology Gun Detection fits when you want repeatable, incident-focused routing from detections through verification without waiting on general video analytics.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Omnilert Gun Detection
Human-verification driven escalation links firearm detection events directly into Omnilert incident routing.
Built for fits when centralized security teams need firearm alerts to trigger governed escalation workflows..
Panic Technology Gun Detection
Editor pickHuman-in-the-loop review and escalation workflow is built around operator verification, not inference-only alerts.
Built for fits when security teams need repeatable escalation from gun detections to verified incidents..
Actuate AI
Editor pickHuman-in-the-loop review workflow tied to event routing decisions.
Built for fits when SOC teams need firearm detections routed through review before escalation..
Comparison Table
Omnilert Gun Detection
enterpriseComputer vision detects visible firearms across connected video surveillance systems.
Human-verification driven escalation links firearm detection events directly into Omnilert incident routing.
Omnilert Gun Detection centers on turning firearm detection outputs into actionable notifications and an incident sequence managed in Omnilert. The workflow supports verification steps so operators can reduce unnecessary escalations when confidence is low or the scene is ambiguous. The integration story is strongest for teams already using Omnilert for alerting, because the detection events can flow into the same escalation governance.
A key tradeoff is that firearm detection accuracy is still dependent on camera placement and scene conditions, so teams with limited coverage or poor lighting may see higher alert volume. The best usage situation is central monitoring where security operators review events, then escalate to on-call staff with clear timing rules when a potential firearm is confirmed.
- +Incident escalation connects firearm alerts to operational response workflows
- +Configurable verification steps reduce unnecessary escalations
- +Works well for teams standardizing alert routing across sites
- +Human review triggering supports tighter false-alarm handling
- –Alert volume depends heavily on camera coverage and sightlines
- –Workflow design requires clear ownership of review versus escalation
- –Limited standalone value if Omnilert alerting is not already in use
- –Tuning detection confidence thresholds takes time for each environment
Security operations teams
Triage firearm alerts from monitored cameras
Fewer unnecessary dispatches
Multi-site security managers
Standardize alert handling across locations
Consistent incident response
Show 2 more scenarios
On-call response teams
Trigger escalation with clear timing
Faster confirmed response
Escalation sequences route potential firearm events to on-call staff with defined delays.
Security administrators
Govern notification and review responsibilities
Improved accountability
Configuration separates review actions from escalation actions to enforce operational controls.
Best for: Fits when centralized security teams need firearm alerts to trigger governed escalation workflows.
Panic Technology Gun Detection
vertical specialistAI-driven gun recognition software that integrates with existing CCTV infrastructure.
Human-in-the-loop review and escalation workflow is built around operator verification, not inference-only alerts.
Panic Technology Gun Detection is positioned for security operations where detections must be reviewed, logged, and acted on with low operational friction. The workflow emphasis favors teams that manage incidents through a central monitoring station and require predictable handling of detection confidence. Deployment flexibility supports environments that cannot rely solely on cloud inference for all video traffic.
A tradeoff is that camera onboarding and coverage validation require disciplined configuration work before results stabilize. This is a strong fit when video coverage is stable and the team can run human-in-the-loop review on each high-risk event, then tune response paths for false positive rate and detection latency.
- +Workflow-first alert handling with human verification steps
- +Deployment flexibility for on-premises or hybrid environments
- +Event routing supports operational escalation patterns
- +Designed for incident operations, not just raw detection output
- –Requires careful camera coverage validation to control false positives
- –Tuning detection thresholds and workflows takes operational time
Security operations centers
Central alert verification workflow
Faster verified incident handling
Multi-site security teams
Consistent events across locations
Lower variance in responses
Show 1 more scenario
On-premises video operators
Hybrid processing with local constraints
Reduced external video dependency
Runs video detection workflows in environments that require local processing paths.
Best for: Fits when security teams need repeatable escalation from gun detections to verified incidents.
Actuate AI
enterpriseAI gun detection software that integrates with existing IP camera systems to identify firearms and alert security teams in real time.
Human-in-the-loop review workflow tied to event routing decisions.
Actuate AI is positioned for teams that need firearm detection plus an operational pipeline for incident handling. Detection events can be reviewed by humans, and outcomes can be forwarded into escalation workflows that match SOC practices. Integration depth matters here because the value depends on how well the events fit into existing monitoring and response processes.
A practical tradeoff is that the strongest results require deliberate camera and workflow configuration to control false positives and escalation quality. It is a good fit when a security team already runs centralized monitoring and wants to add weapon detection with review gates, not just raw alerts.
- +Human review step reduces escalation noise
- +Integration and automation hooks fit existing SOC routing
- +Workflow-oriented event handling supports incident lifecycle
- +Configuration options help align detection with coverage goals
- –Workflow tuning can take time to reach stable alert quality
- –Camera onboarding and validation require operational discipline
- –Advanced automation depends on correct API event mapping
- –Edge-to-cloud or deployment specifics can affect integration effort
Security operations analysts
Review firearm alerts before escalation
Cleaner escalations and faster triage
Security engineering teams
Automate event handling via integrations
Lower manual processing
Show 1 more scenario
Physical security managers
Standardize detection across sites
Consistent incident outcomes
Configuration supports repeatable camera and workflow patterns across multiple locations.
Best for: Fits when SOC teams need firearm detections routed through review before escalation.
Vaidio
enterpriseAI video search and analytics include firearm and weapon detection capabilities.
Incident workflow links gun detection events to a review stage for confirmation before escalation.
Vaidio targets firearm detection workflows with video analytics built for security operations and investigation. The system supports computer vision driven classification that routes incidents into review and escalation steps rather than treating every alert as a final decision.
Administrators can tune detection behavior and manage where analytics runs to fit different network and camera layouts. Human-in-the-loop review is positioned as part of the workflow to reduce detection errors before downstream escalation.
- +Human-in-the-loop review supports safer incident escalation than auto-dismissal
- +Configurable detection behavior helps balance false alarms against missed events
- +Incident workflow supports investigation handoff beyond raw detections
- +Deployments can fit varied camera networks without forcing a single VMS model
- –Tuning detection thresholds takes iteration to reach stable performance
- –Coverage depends on camera placement and image quality for reliable detection
Best for: Fits when security teams need firearm classification with review workflow and controlled escalation, not just model output.
ZeroEyes
enterpriseAI video analytics identify visible firearms and route alerts for human verification.
Confidence-gated alerting tied to an operator review workflow to manage false positive rate during real-world camera scenes.
ZeroEyes performs automated firearm detection and alerting from IP camera feeds using computer vision and real-time event logic. The system focuses on incident escalation workflows that connect detection confidence with operator review so security teams can manage false positive rate and false negative rate tradeoffs.
ZeroEyes supports network camera integration and can run in cloud or on-premises-like deployments depending on the deployment model selected. The product is designed for security operations center monitoring and event-driven response across multiple cameras.
- +Configuration supports multiple camera integrations for consistent detection coverage
- +Real-time alerting logic includes detection confidence gating for operator workflows
- +Incident escalation supports human-in-the-loop review to reduce unnecessary dispatch
- +Supports export or relay of event data to downstream security workflows
- –Requires careful camera placement and scene tuning to control false alarms
- –Integration depth varies by video management system and event ingestion path
- –Operator review workflows can add overhead during high-traffic periods
- –Deployment shape adds governance work when scaling across many sites
Best for: Fits when a security operations center needs automated gun detection alerts plus confidence-based operator review across camera networks.
Athena Security
vertical specialistVideo analytics identify weapons and other security threats in monitored environments.
Confidence-scored firearm classifications designed for analyst review routing, so alerts can be gated before incident escalation.
Athena Security targets security operations teams that need firearm detection workflows tied to existing camera and alarm escalation processes. The core capability is computer vision-based firearm classification that produces per-clip detections with confidence signals for human-in-the-loop review.
Its deployment approach supports running the detection pipeline where teams can manage video feeds and incident handling end to end. Athena Security also focuses on integrating alerts into operational processes so detections can route into investigation and escalation rather than ending at analytics alone.
- +Human review workflow reduces firearm misclassification before escalation
- +Confidence-scored detections support triage and incident prioritization
- +Integration-oriented alert outputs fit incident workflows
- +Firearm classification outputs map to handgun and rifle targeting needs
- –Tuning for detection confidence can require iterative calibration
- –Operational governance depends on teams setting consistent review rules
- –Camera integration scope may require specific VMS or feed standards
- –Latency behavior can vary with edge or cloud inference placement
Best for: Fits when a security operations center needs firearm detections routed into review and escalation workflows with confidence-based triage.
Ambient.ai
enterpriseComputer vision analyzes camera feeds for weapons and security incidents.
Review-first firearm detection pipeline that routes detections into escalation with configurable event conditions.
Ambient.ai focuses on firearm detection workflows that fit into existing security operations with video analytics and event-driven alerting. The core capability is computer-vision based detection of firearms with reviewable detections that security teams can route into incident escalation.
Integration is centered on connecting to camera and video management environments so alerts can originate from captured footage rather than manual reporting. Automation is primarily driven through configurable detection events that can be consumed by downstream systems for monitoring and response.
- +Event-driven firearm detections designed for incident escalation workflows
- +Human-in-the-loop review fit for managing detection confidence and false alarms
- +Camera and VMS integration approach supports centralized monitoring station setups
- +Configurable alert conditions help tune detection behavior across sites
- –Setup requires careful camera view calibration to avoid missed detections
- –Governance controls and audit logging depth are less transparent than in top-ranked options
- –Detection performance can vary sharply with low-light scenes and occlusion
- –API extensibility for custom routing is narrower than some comparable vendors
Best for: Fits when security teams need firearm detection with reviewable events and incident-ready escalation.
Xtract One
vertical specialistWeapons screening systems detect concealed firearms and other threats at entry points.
Configurable operator review queues that attach detection confidence context to firearm classification alerts.
Xtract One focuses on gun detection workflows built around computer vision inference and human-in-the-loop review to manage firearm classification outcomes. The solution routes detections into configurable alerting and incident escalation so teams can triage cases using detection confidence and review cues. Video ingestion supports common IP camera paths used in security operations, and integrations target typical VMS and monitoring station deployment patterns.
- +Human-in-the-loop review helps reduce false positives during firearm classification triage.
- +Configurable alert escalation supports repeatable incident handling for security teams.
- +Works with common IP camera streaming paths used in physical security networks.
- +Detection confidence signals help operators prioritize events for faster review.
- –Fine tuning detection thresholds can take iterative setup for specific camera views.
- –Governance and audit reporting depth for RBAC workflows is limited for enterprise rollouts.
Best for: Fits when security teams need firearm detection with operator review and predictable alert escalation.
BastionZone
SMBReal-time gun detection software that connects to existing CCTV systems to identify firearms in camera feeds.
Human-in-the-loop review queue that pairs detection results with analyst validation before escalation.
BastionZone performs firearm detection from monitored camera feeds and routes alerts into security workflows. It focuses on human-in-the-loop review so analysts can validate detection confidence before escalation.
Its core value is the combination of configurable alert rules with incident handoff geared for security operations centers and control rooms. The admin experience centers on managing camera connections and tuning detection behavior per deployment.
- +Human-in-the-loop review supports analyst validation before escalation
- +Camera connection management supports ongoing monitoring with fewer manual steps
- +Configurable alert rules reduce noise in the incident stream
- +Workflow alignment targets control-room handling of detections
- –Tuning detection behavior can require iterative configuration per site
- –Integration depth with VMS and event systems is limited compared with top-tier vendors
- –Alert payload detail may be insufficient for deep automated enrichment
- –Throughput scaling for large camera counts is not as clearly documented as leaders
Best for: Fits when security teams need human-validated firearm alerts with practical control-room workflows.
Evolv Technology
enterpriseAI-based weapons detection screening system designed for high-traffic venue entrances.
Human-in-the-loop verification that routes low-confidence firearm detections into reviewer queues for consistent incident escalation.
Evolv Technology focuses on gun detection and firearm classification from live video feeds, with workflow review built for security teams that need controllable false positive rates. The system supports human-in-the-loop review for detections that exceed configured confidence thresholds, which helps teams route ambiguous events into investigation queues.
Evolv Technology also provides an integration layer for camera and video management workflows used by security operations centers, so detections can feed incident escalation and central monitoring. Administration emphasizes governance around alert handling and reviewer permissions to keep verification consistent across shifts.
- +Human-in-the-loop review paths reduce uncertainty in weapon detections
- +Firearm classification supports separate handling for likely handguns and rifles
- +Governable alert routing supports consistent escalation rules across teams
- +Video feed integration supports centralized monitoring station workflows
- –Achieving stable detection confidence depends on camera coverage and viewing angles
- –Review queues require operational discipline to prevent backlog during high alert volume
- –Automation breadth for custom event schemas can be limited compared with extensible API-first tools
- –False negative and latency tuning can take multiple iterations on each site
Best for: Fits when security teams need classification-led gun alerts with controlled human review for investigations.
Conclusion
After evaluating 10 public safety crime, Omnilert Gun Detection stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right gun detection software
Gun detection software in this roundup centers on firearm detection events that get routed into human-in-the-loop workflows before incident escalation, with Omnilert Gun Detection using escalation links from verified firearm detections into Omnilert incident routing. Panic Technology Gun Detection and Vaidio also emphasize review-first pipelines that attach classification context to operator decisions rather than sending inference-only alerts.
Several other tools in the list manage detection quality through confidence gating and operator queues, including ZeroEyes, Athena Security, and BastionZone. Actuate AI, Ambient.ai, Xtract One, and Evolv Technology round out the set with review stages that control how detection uncertainty becomes an operational incident.
Gun detection software that routes firearm alerts into governed human verification workflows
Gun detection software identifies firearm and weapon-related objects in camera feeds and turns detections into real-time alert events that can be held for human verification. This category focuses on how alerts move from detection into operator review queues and then into incident escalation paths.
Omnilert Gun Detection is built around human-verification driven escalation links that connect firearm detection events directly into Omnilert incident routing, so workflow design governs when notifications become incidents. Panic Technology Gun Detection uses a workflow-first approach with operator verification steps that support repeatable escalation from gun detections to verified incidents rather than relying on inference-only alerts.
Human verification, confidence gating, and incident routing controls
Gun detection software becomes operational when detections feed a governed path that sends only verified outcomes into incident escalation. The tools in this list split that path across human-in-the-loop review stages, confidence-based gating, and escalation links that determine how alerts turn into incidents.
Escalation links tied to verified detections
Omnilert Gun Detection routes firearm detection events into Omnilert incident routing via human-verification driven escalation links, so the escalation decision stays attached to verification outcomes. This design connects review workflow ownership to incident escalation rather than treating notifications as inference-only events.
Workflow-first human verification pipelines
Panic Technology Gun Detection centers operator verification in the escalation workflow so alerts move from gun detections to verified incidents through repeatable operator steps. Actuate AI also routes detections through a human-in-the-loop review workflow that ties event routing decisions to review outcomes.
Confidence-scored triage for analyst review routing
ZeroEyes gates real-time alerting through detection confidence so operators review only confidence-filtered detections across camera networks. Athena Security adds confidence-scored firearm classifications to support triage and incident prioritization before escalation.
Review stages with classification context
Vaidio links gun detection events to a review stage for confirmation before escalation and uses configurable detection behavior to balance missed events against false alarms. Xtract One attaches detection confidence context to firearm classification alerts and then escalates from operator review queues.
Configurable event conditions for escalation readiness
Ambient.ai implements a review-first firearm detection pipeline that routes detections into escalation with configurable event conditions. Evolv Technology routes low-confidence firearm detections into reviewer queues so classification uncertainty becomes a controlled investigation path rather than an automatic incident.
Choose a workflow shape that matches review ownership and camera constraints
The fastest way to evaluate fit is to map each product’s handling of detection uncertainty into the team’s actual review and escalation chain. This list differs most on whether escalation is triggered only after verification, whether confidence gating filters operator workload, and how much operational discipline is required to keep camera coverage and thresholds stable.
Start with where escalation decisions must live
If escalation must be directly governed by verification outcomes inside an operational incident tool, Omnilert Gun Detection links verified firearm detection events into Omnilert incident routing. If escalation should flow through an operator verification workflow as the primary mechanism, Panic Technology Gun Detection provides a workflow-first path that targets operator verification rather than inference-only alerts.
Select confidence gating when operator bandwidth is the limiter
If the security operations center needs confidence-based alert gating so analysts see fewer false positives across camera networks, ZeroEyes provides real-time alerting logic with detection confidence gating for operator workflows. If triage needs confidence-scored firearm classifications to prioritize incident handling, Athena Security routes analyst review with confidence scoring before escalation.
Pick review-stage depth when classification context must be confirmed
If review must confirm firearm classification behavior before escalation and tuning must balance missed events and false alarms, Vaidio ties events to a confirmation review stage and adds configurable detection behavior. If operators need a review queue that includes detection confidence context for firearm classification triage, Xtract One provides configurable operator review queues that attach confidence context.
Decide how much operational tuning time is acceptable
If operational governance can support threshold and workflow tuning to reach stable alert quality, Actuate AI and Vaidio both place the success of review routing on workflow tuning and camera onboarding discipline. If the team prefers a pipeline that sends low-confidence detections into reviewer queues for controlled handling, Evolv Technology routes low-confidence firearm detections into reviewer queues to avoid treating uncertainty as incident-ready output.
Match camera coverage reality to the product’s sensitivity to sightlines
If camera coverage and sightlines will change across sites, tools that warn escalation outcomes depend on coverage, such as Omnilert Gun Detection and ZeroEyes, require camera validation to prevent alert volume spikes. If camera placement and image quality can be validated during setup, Ambient.ai and BastionZone can support review queues, but both rely on careful camera view calibration to avoid missed detections.
Security teams that can operationalize review before escalation
Gun detection software in this roundup targets teams that treat detection confidence as a workflow input rather than a final decision. Fit is strongest for security operations centers and centralized security teams that can assign review ownership and maintain governance for when detections become incidents.
Centralized security teams routing events into incident operations
Omnilert Gun Detection fits teams that need firearm alerts to trigger governed escalation workflows with escalation links that connect verified detection outcomes to Omnilert incident routing.
SOC teams that want repeatable operator verification steps
Panic Technology Gun Detection matches security teams that want escalation built around operator verification steps and need a consistent path from gun detections to verified incidents rather than inference-only notifications.
Analyst teams managing high camera counts with confidence triage
ZeroEyes supports SOCs that need confidence-gated alerting so operator review workload stays controlled across camera networks and real-time alerting uses detection confidence gating.
Organizations requiring confirmation before escalation based on classification behavior
Vaidio and Athena Security align with teams that require confirmation or classification triage with confidence-scored detections routed into review and escalation only after analyst confirmation.
Teams planning review queues with escalation controls across sites
Ambient.ai and Xtract One work for teams that can maintain review queues and operational discipline for tuning thresholds so reviewable events become incident-ready outcomes.
Pitfalls that break firearm detection workflows
The biggest failures come from treating gun detection as an automatic decision engine instead of a governed workflow. The second most common issue is underestimating camera coverage and tuning time, since several products explicitly tie alert quality and volume to camera placement and review governance choices.
Running inference-only alerting without a verification gate
Teams that skip human verification steps risk turning detection uncertainty into incident noise. Omnilert Gun Detection and Panic Technology Gun Detection both position human review and verification as the mechanism that governs when escalation happens.
Using camera coverage that cannot support stable detection and review
Several tools tie performance to camera placement and sightlines and warn that false alarms or missed events rise when coverage is inadequate. ZeroEyes and Omnilert Gun Detection both call out camera coverage validation as a requirement to control false positives and alert volume.
Neglecting threshold and workflow tuning until rollout
Workflow tuning can take time to reach stable alert quality and may require iterative setup per camera view. Actuate AI and Vaidio both flag workflow tuning and threshold iteration as operational necessities for stable review routing.
Allowing review queues to accumulate without escalation rules
Review queues require operational discipline so backlog does not turn uncertainty into delayed incidents. Evolv Technology and Ambient.ai both depend on controlled handling of low-confidence detections, which breaks when review ownership is unclear.
Assuming governance depth matches enterprise RBAC and audit needs
Some products document limited governance and audit reporting depth for enterprise rollouts, which can block large deployments with strict access control requirements. Xtract One and BastionZone both indicate limited governance and integration depth compared with top-ranked options.
How We Selected and Ranked These Tools
We evaluated how each gun detection product turns detections into incident escalation through human-in-the-loop review stages, confidence gating behavior, and escalation routing controls, because those mechanisms determine false positive rate management and verification coverage. Features counted for 40% of the score, with emphasis on escalation links from verified detection outcomes in Omnilert Gun Detection and on workflow-first escalation with operator verification in Panic Technology Gun Detection.
Ease and value each counted for 30%, with Omnilert Gun Detection standing out at 9.2/10 For ease and 8.9/10 For value because its human-verification driven escalation links reduce ambiguity in escalation handoffs. Omnilert Gun Detection also led overall at 9.1/10, Driven by configurable verification steps that reduce unnecessary escalations and a workflow design tied directly to incident routing.
Frequently Asked Questions About gun detection software
How does Omnilert Gun Detection route firearm detections into an operations workflow instead of ending at a model output?
Which tool is better when human-in-the-loop verification must gate escalation based on operator review, not model confidence alone?
How should security teams compare Omnilert Gun Detection versus ZeroEyes for reducing false positives in real camera scenes?
When does on-premises or hybrid processing matter, and which platform supports it explicitly?
How do Actuate AI and Ambient.ai differ in the way they connect gun detection events to existing operational systems?
Which product is designed around incident workflow links that route detections to a review stage before escalation?
What breaks if an organization skips governance controls for reviewer permissions during verification?
How should teams handle detection latency when multiple cameras feed a SOC or central monitoring station?
Where do governance and administration differ most when teams need to tune detection behavior per deployment?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Keep exploring
Comparing two specific tools?
Software Alternatives
See head-to-head software comparisons with feature breakdowns, pricing, and our recommendation for each use case.
Explore software alternatives→In this category
Public Safety Crime alternatives
See side-by-side comparisons of public safety crime tools and pick the right one for your stack.
Compare public safety crime tools→