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AI Gun
Detection

Real-time gun detection technology for public
safety, access control, and rapid response.

AI Gun Detection

ROC brings real-time firearm detection to live security workflows, helping teams identify visible, brandished guns earlier, route alerts intelligently, and respond faster. From IP cameras to mobile TacOps, it transforms raw video into proactive threat detection for real-world operations.

Find the signal in the noise. ROC Evidence unifies device extractions, cloud returns, video, and documents into one investigative environment — sovereign, open, and built in America. Top NIST-ranked biometrics and video analytics are native, so investigators move from extraction to insight without juggling vendors or surrendering control of their data.

Real-time gun detection technology for public safety, access control, and rapid response.

Real-Time Gun Detection for
Faster Incident Response

Earlier Threat
Visibility

Faster Incident
Response

Sub-Second
Detection Latency

Works with
Existing Cameras

Configurable
Response Workflows

Proven in
Operational
Environments

Real-Time Gun Detection for 
Faster Incident Response

Earlier Threat
Visibility

Faster Incident
Response

Faster Incident
Response

Works with
Existing Cameras

Configurable
Response Workflows

Proven in
Operational
Environments

What is AI Gun
Detection?

AI-assisted gun detection is a Vision AI capability that analyzes live video feeds to identify visible firearms and surface alerts when a likely threat is detected. It helps security teams move beyond passive monitoring by turning video into an active layer of detection and response.

Traditional surveillance still relies heavily on human operators noticing threats in real time and escalating them quickly. AI gun detection helps close this gap by continuously monitoring video for visible, brandished firearms so teams can act sooner.

It is different from adjacent security technologies. Unlike gunshot detection, which reacts after a shot is fired, or concealed weapon screening, which focuses on checkpoint inspection, AI gun detection is designed for live detection of visible firearms in operational environments.

How AI Gun
Detection
Systems Work

AI gun detection technology works by analyzing live video streams frame by frame to identify visible firearms in context. When the system detects a likely match, it generates an alert and routes it into a broader security workflow for review, escalation, or response.

That workflow can be configured by environment. Some organizations need immediate escalation, while others route detections first to a trained operator for adjudication. Gun detection is not a one-size-fits-all deployment: different sites, staffing models, and risk profiles require different thresholds for sensitivity, alerting, and response.

The role of gun detection is not to replace human judgment, but to sharpen it by helping operators focus on the 1% of video that matters most.

Find the signal in the noise. ROC Evidence unifies device extractions, cloud returns, video, and documents into one investigative environment — sovereign, open, and built in America. Top NIST-ranked biometrics and video analytics are native, so investigators move from extraction to insight without juggling vendors or surrendering control of their data.

The role of gun detection is not to replace human judgment, but to sharpen it by helping operators focus on the 1% of video that matters most.

ROC GUN DETECTION

Proven Technology When 
Speed and Precision Matter

Built for live security environments, ROC combines visible firearm detection, sub-second analysis, rapid alerting, and configurable response workflows to help teams detect threats earlier and respond faster using existing camera infrastructure.

01

Detect Visible Firearms
in Live Video

ROC Gun Detection analyzes live video frame by frame to identify visible firearms, with a primary focus on brandished guns. It detects handguns and long guns with sub-second detection latency.

02

Recognize Firearms Across
Varied Presentations

ROC Gun Detection is built to detect firearms across a range of challenging poses and carry positions, including firearms that are brandished, depressed, or holstered when visible to the camera.

03

Surface Detections and
Deliver Rapid Alerts

When a likely firearm is detected, ROC Gun Detection generates alerts in near real time so detections can be surfaced quickly and routed intelligently across live security operations.

04

Perform Reliably in
Operational Conditions

As with all of ROC’s core algorithms, ROC Gun Detection is optimized for real-world operational conditions rather than idealized lab scenarios: crowded environments, partial occlusion, and complex, uncontrolled settings where firearms may not appear in a perfectly clean frame.

05

Support Faster Assessment
and Response

By focusing on visible firearms in live environments, ROC Gun Detection gives teams the specificity needed to assess threats faster and determine the appropriate response, supporting flexible workflows from automated escalation to human review and adjudication.

06

Ensure Responsible
Deployment

ROC technology is developed under a strict Code of Ethics, helping ensure these Vision AI capabilities are deployed responsibly in ways that support public safety while respecting privacy, human oversight, and operational accountability.

Gun Detection for Live 
Security Environments

Across public safety, access control, and TacOps scenarios, the value of AI gun detection systems is clear: earlier visibility, faster coordination, and a more proactive response posture.

Public Safety

For public safety agencies, ROC Gun Detection can help surface visible threats earlier and get critical information to the right personnel faster. In city surveillance, transit environments, and Real Time Crime Centers, earlier visibility can support faster coordination, earlier escalation,  and more informed decision-making as events unfold.

Access Control

In physical security contexts, gun detection platforms can help identify a visible firearm before a threat reaches a more vulnerable point in the workflow. This gives security teams more time to assess the situation, escalate appropriately, and protect facilities across entire camera networks, from perimeter approaches to entry points.

Tactical Response

For tactical teams, ROC Gun Detection can feed live alerts into active field operations quickly enough to support response in motion. In mobile, vehicle-based, covert, or rapidly changing environments, earlier visibility can help teams act with greater situational clarity and operational tempo.

Own the
Vertical
Space

Own the
Vertical
Space

Beyond fixed-camera setups, ROC AI Gun Detection can extend into mobile, vehicular, and covert tactical operations. Using drone-based imagery and multimodal video analytics configured for elevated, long-range detection, ROC can help detect rooftop snipers, track threats at range, and close the vertical blind spot.

CONFIGURABLE WORKFLOWS

Flexible Workflows for 
Live Threat Resolution

Gun detection is not a one-size-fits-all deployment. Different environments require different thresholds for sensitivity, alerting, review, and escalation. ROC Gun Detection is built to support configurable response workflows, giving organizations more control over how detections are surfaced and how teams respond.

Fine-Tune Detection to the Environment

ROC Gun Detection can be configured based on the needs of an organization’s operating scenario and risk tolerance. Teams can adjust settings to favor broader detection coverage or tighter alerting behavior, depending on camera placement, scene complexity, staffing models, and operational priorities.

Route Alerts the 
Right Way

Once a visible firearm is detected, alerts can be routed in the way that best fits the workflow. Some organizations may want automated escalation the moment a detection occurs. Others prefer detections routed to a trained operator for human adjudication before action is taken.

Keep Human
Judgment in
the Loop

This flexibility matters in live operational environments. Human review helps validate detections, reduce unnecessary escalation, and ensure that the response matches the context. In high-stakes settings, ROC Gun Detection supports faster, more informed decisions without removing human oversight.

POST-EVENT ANALYTICS

From Live Alerts to Post-
Event Video Analytics

Detect the Event

ROC Gun Detection is built first for live response, but the value does not stop once the alert is issued. Detections can also strengthen post-event review and investigative workflows by helping teams identify relevant footage faster, narrow the search window, and reconstruct incidents with greater clarity.

Review the Footage

After an event, gun detection data can help investigators pinpoint key moments in video, review timelines more efficiently, and reduce the time required to locate relevant footage for analysis. Organizations move from raw footage to usable evidence faster.

Accelerate the
Investigation

The same capability that supports faster live response can also support video forensics, pattern-of-life analysis, and investigative reconstruction, extending the value of gun detection beyond the initial alert and accelerating the path to case resolution.

Your Infrastructure. Your Rules.

ROC Gun Detection is designed to integrate with existing IP camera infrastructure, making it easier to operationalize gun detection without overhauling the broader security environment. The result is a faster path to deployment, lower infrastructure burden, and stronger long-term ROI from the systems organizations already own.

Real-Time Alerting

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When ROC detects a visible firearm, the system performs sub-second analysis to deliver alerts in near real time through email, SMS, MQTT, or REST API integrations. This gives organizations flexibility in how detections are surfaced, shared, and escalated across existing security workflows and third-party systems. As an end-to-end AI gun identifier, ROC pairs detection with intelligent alert routing.

Gun Tracking & Situational Awareness

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Gun detections can be paired with associated individuals and intelligent tracking across multiple camera feeds to help operators maintain visibility as a threat moves through an environment. Rather than forcing teams to work from a single moment of detection, ROC Watch helps turn that alert into a more usable operational view.

Unified Multimodal Intelligence

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ROC Watch brings gun detection into the same pane of glass as other ROC analytics, including face recognition, watchlisting, vehicle recognition, and ALPR. The result is more intelligent, layered awareness for security and tactical response teams working from live video.

Made for Developers

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ROC SDK is designed to help teams integrate AI models into existing workflows with speed and precision. With native deployment options, sample code, documentation, CLI support, and broad language and platform compatibility, it gives developers a more practical way to operationalize gun detection inside their own systems.

Built for Mission-Specific Environments

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ROC SDK is suited for embedded and specialized deployments where firearm detection must integrate within complex security workflows. It supports cloud, on-prem, hybrid, and edge environments, with real-time video processing optimized for mobile and server infrastructure. Built for high-security, air-gapped environments and tactical operations, ROC SDK provides edge-ready Android deployments and ATAK/CIVTAK-adjacent support, ensuring reliable performance without constant internet connectivity.

The Foundation Behind ROC Platforms

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ROC SDK is not a side offering. It is the core algorithmic engine that also powers ROC’s next-gen biometric identity, video analytics, and ABIS platforms. This gives partners a more credible path to deployment: the same SDK used to embed ROC Gun Detection can also serve as the backbone for larger operational systems built on ROC’s unified Vision AI capabilities.

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FREQUENTLY ASKED QUESTIONS
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Does ROC Gun Detection work with
my existing security cameras?

Yes. ROC is hardware-agnostic and designed to integrate with almost any existing IP camera infrastructure via standard RTSP streams. This allows organizations to add a proactive threat detection layer without the cost of a rip-and-replace hardware overhaul.

What is AI gun detection software and how does it work?
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AI gun detection software uses deep-learning computer vision to identify visible firearms - handguns, rifles, and other long guns - the moment a weapon appears on camera. The system analyzes live video frame by frame, and when a likely firearm is detected, it generates an alert and routes it into your security workflow for review, escalation, or automated response.

ROC's model is trained on real-world brandished weapon scenarios rather than static firearm images. A weapon being drawn and presented is the operational threat moment, and ROC detects that moment specifically - across varied poses, carry positions, and partial occlusion.

More: ROC Watch

How accurate is ROC Gun Detection in real-world conditions?
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ROC Gun Detection is deployed and used daily by U.S. law enforcement agencies and military operators - in live operational environments, not lab conditions.

Key performance characteristics:

  • Focuses on brandished weapons, maximizing actionable alerts while minimizing false positives in crowded public spaces
  • Delivers up to 10x faster notification for security operators compared to human-only video monitoring
  • Validated in schools, transit systems, and law enforcement command centers

Detailed accuracy metrics and testing documentation are available to qualified law enforcement and government customers under NDA.

More: Public Safety

Does ROC Gun Detection work with my existing security cameras?
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Yes. ROC is hardware-agnostic and integrates with almost any existing IP camera infrastructure via standard RTSP streams. Legacy analog CCTV can be connected through encoders. This allows organizations to add a proactive gun detection layer without a rip-and-replace hardware overhaul.

ROC Watch scales to thousands of simultaneous camera streams from a single control interface.

More: ROC Watch

How does AI gun detection differ from gunshot detection systems?
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Gunshot detection is reactive - acoustic sensors alert you after a weapon has already been fired. AI gun detection is proactive - it identifies visible, brandished firearms before they are used, giving security teams the critical seconds needed to trigger lockdowns and intervention before shots are fired.

The same logic separates gun detection from metal detectors and checkpoint screening: those control a single entry point, while Vision AI monitors every connected camera across the entire facility, continuously. The technologies can complement each other, but only visual gun detection provides facility-wide, pre-incident warning.

Does gun detection work in low-light, crowded, or outdoor environments?
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Yes. Unlike lab-only algorithms, ROC is engineered for uncontrolled environments. Our neural networks maintain high accuracy in low lighting, adverse weather, and high-throughput areas where people or objects may partially occlude the camera's view.

Beyond fixed cameras, ROC Gun Detection extends to drone aerial video, mobile, and vehicular deployments, including detection from top-down and downward-looking angles.

How does ROC Gun Detection support active shooter response?
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ROC performs sub-second analysis on live video. When a firearm is detected, alerts are delivered in near real time via email, SMS, MQTT, or REST API - directly to facility personnel or through a security operations center for human adjudication first. Response workflows are fully configurable to your staffing model and risk profile.

In active shooter events, a weapon is usually visible before the shooter engages. Those seconds of earlier visibility are what enable lockdowns, PA announcements, dispatch, and tactical intervention before shots are fired. Intelligent tracking across multiple camera feeds keeps operators on the threat as it moves through the environment.

More: Public Safety

Is AI gun detection suitable for schools and campuses?
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Yes. K-12 schools and universities are among the most common deployment environments for ROC Gun Detection. Through ROC Watch, gun detection combines with visitor management and watchlist screening into a unified, proactive safety layer - using the cameras already installed on campus.

Configurable workflows let schools decide exactly how alerts reach administrators, school resource officers, and local law enforcement.

More: ROC Watch for Schools

Where is the data processed and is it secure?
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ROC offers total deployment flexibility: on-prem, cloud, hybrid, or edge. As a 100% American-made company, ROC ensures all code is sovereign and secure. For tactical teams, ROC can be deployed in fully disconnected or offline environments on mobile devices via ATAK or ruggedized vehicle kits.

Air-gapped and high-security environments are fully supported.

Should I deploy gun detection through ROC Watch or ROC SDK?
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ROC Gun Detection is available through two complementary paths:

  • ROC Watch - a turnkey video analytics platform for security operators: live alerting, gun tracking, visitor management, and incident review, with no coding required
  • ROC SDK - programmatic access to the firearm detection algorithm for developers and mission-specific deployments, with feature parity across 7 languages and native support for Windows, macOS, Linux, iOS, and Android

Both run the same core algorithms, and many enterprise deployments combine them: SDK for system integration, Watch for operator command and control. A free 30-day evaluation license is available.

More: ROC Watch - ROC SDK