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Capabilities - Weapon Detection

Weapon Detection identifies firearms, knives, and other threat objects in video feeds to support security operations. The system is designed with full transparency about its capabilities and limitations: detection rates vary by weapon type, concealment level, and environmental conditions. It is intended as a supplementary layer for trained security personnel, not a replacement. All detection thresholds are configurable, and false positive rates are reported openly so operators can tune sensitivity to their specific risk tolerance. The system is built for environments subject to security screening requirements.

Weapon Detection
Threat Object Detection
Firearms & Blades
Sensitivity Thresholds
Configurable
Alert Latency
<100ms

How it works - Weapon Detection in three steps

Get started with weapon detection in minutes using your existing camera infrastructure.

  • Deploy Security Cameras. Position cameras at entry points, hallways, and open areas where weapons might be visible. The system works with existing surveillance infrastructure — no specialized cameras required.
  • Threat Object Classification. Detection models identify weapon-like objects and classify them by type (handgun, rifle, knife, blunt weapon). Confidence scores reflect the model's certainty, and detections below a configurable threshold are suppressed.
  • Alert Security Personnel. Detections above the confidence threshold trigger immediate alerts to security operations centers with a snapshot, camera location, and classification. Security personnel make all response decisions — the system never initiates autonomous actions.

Features

Everything you need for production-grade weapon detection.

  • Firearm Detection. Identifies handguns, rifles, and shotguns when visibly carried or brandished. Detection accuracy is highest for weapons held in open view and decreases for partially concealed items.
  • Edged Weapon Detection. Detects knives, machetes, and other bladed weapons. Performance is best on larger blades; small folding knives in hand are more challenging and reported with lower confidence.
  • Configurable Sensitivity Thresholds. Operators set detection confidence thresholds per camera and weapon type. Higher thresholds reduce false positives at the cost of some missed detections, and vice versa.
  • Transparent False Positive Reporting. The system logs every detection with its confidence score and provides daily, weekly, and monthly false positive rate reports. This data helps operators tune thresholds over time.
  • Human-in-the-Loop Design. All detections are routed to human operators for verification. The system explicitly does not make access control decisions or initiate lockdowns autonomously.
  • Integration with VMS Platforms. Outputs integrate with major video management systems (Milestone, Genetec, Avigilon) to highlight detection events in existing security operator workflows.

Use cases

Real-world applications of weapon detection across industries.

School Security Augmentation

Schools need additional security layers beyond access control. Weapon Detection can provide an alert to security staff when a firearm is visibly present, supplementing existing security measures.

  • Education
  • Government

Corporate Campus Security

Large campuses with multiple entry points cannot station security personnel everywhere. Camera-based detection can extend the coverage area that a security team effectively monitors.

  • Corporate

Event Venue Screening Support

Concert venues and stadiums use metal detectors at entry. Camera-based detection can add a visual screening layer at perimeters and common areas beyond the entry checkpoint.

  • Events
  • Hospitality

Public Transit Security

Transit agencies monitor thousands of cameras across stations and vehicles. Automated detection can highlight feeds that require immediate security attention, reducing operator fatigue.

  • Transportation
  • Smart City

Retail Loss Prevention

Retail locations in high-risk areas benefit from an additional alert layer. Detection of weapons during robbery attempts can trigger silent alerts to law enforcement.

  • Retail

See how weapon detection works in your environment

Schedule a free discovery call. We will walk through your cameras, your use case, and what our detection models can do for you.

Explore a Pilot

Technical specifications

Models
YOLOv8-M with weapon-specific training on vetted security datasets
Accuracy
Detects visible firearms and edged weapons; reduced accuracy on partially concealed items; configurable sensitivity thresholds
Latency
<100ms per frame on NVIDIA T4
Input Formats
RTSP, ONVIF, MP4, HLS
Output Formats
JSON, MQTT, Webhooks, VMS integrations (Milestone, Genetec, Avigilon)
Edge Support
NVIDIA Jetson, Intel NUC, on-premise GPU servers

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    Skokie, IL 60077
    +1 (847) 983-3672
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