Safety & Compliance

Gun Detection

Gun Detection is an AI-powered video surveillance solution that identifies handguns, rifles, and knives directly from existing CCTV and IP cameras. From office buildings and educational facilities to stadiums and public spaces, this module delivers instant armed threat alerts, reduces security response times, and creates an audited log of all detection events — with no need to replace existing infrastructure.

Real-time inference
On-premise or cloud
GDPR compliant
REST API & SDK
Handgun
Avg. Confidence96%
Detections Today3
CRITICAL
Rifle
Avg. Confidence94%
Detections Today1
CRITICAL
Knife
Avg. Confidence91%
Detections Today2
HIGH
6
Threats Today
24
Cameras Active
94%
Avg. Confidence
3
Weapon categories detected
24/7
Continuous monitoring
<1s
Detection response time
Capabilities

Key Advantages

01

Multi-class detection — simultaneously identifies handguns, rifles, and knives within the same frame, with independent categorization and a confidence score per object

02

Scalable architecture — flexible deployment from a single camera to surveillance networks spanning hundreds of points across multiple buildings or cities

03

Cloud & edge analytics — choose local GPU processing for minimum latency and offline operation, or cloud processing for centralized management and long-term storage

04

Native VMS integration — operates as a plugin within existing Milestone, Genetec, Nx Witness, Avigilon, or VMS Vezha installations without replacing hardware

05

Actionable alerts & logs — every confirmed detection generates an immediate notification with timestamp, camera ID, weapon category, and captured frame, exportable as PDF or CSV

06

Real-world reliability — consistent performance indoors and outdoors, in low-light conditions, across varying camera angles, and in high-density crowd scenes

Process

How It Works

01

Live Video Input

Existing CCTV and IP cameras continuously stream video to the VEZHA platform - no hardware upgrades or new installations required.

02

AI Weapon Detection

The AI model analyzes each video frame in real time, scanning for visual signatures of pistols, rifles and knives with high precision.

03

Threat Classification

Detected objects are classified by weapon category and cross-referenced against configurable rules to distinguish genuine threats from harmless everyday items.

04

Automated Alerting

Upon confirmed weapon detection, the system immediately triggers alarms, sends notifications and logs the event with timestamp, camera ID and weapon type.

Integrations

Works With Your Existing Stack

Deploy alongside your current cameras, hardware, and VMS - no forklift upgrade required.

IP Cameras

Any ONVIF / RTSP stream

Axis CommunicationsBosch Security SystemsDahua TechnologyHanwha VisionHikvisionVivotekUniview (UNV)MilesightRTSPONVIF

VMS Platforms

Native plugin & SDK support

VMS VezhaMilestoneGenetecNx WitnessAvigilon

Edge Hardware

GPU-accelerated inference

NVIDIA JetsonIntel NUCGPU ServerCloud

What is a modern weapon detection system?

A modern weapon detection system combines computer vision, state-of-the-art neural networks, and an alert management layer to turn ordinary camera feeds into real-time detections of dangerous objects, weapon type classifications, and automatic notifications to security teams.

  • AI computer vision detects and classifies weapons regardless of angle, focal length, or lighting conditions.
  • Configurable rules allow sensitivity thresholds and detection zones to be adapted to the specific environment of each installation.
  • VMS and access control integration enables a detection to automatically trigger door lockdowns, activate sirens, or send notifications directly to emergency services.

After testing it across multiple facility types, our team found that systems based on modern neural networks significantly outperform conventional motion detectors and traditional video analytics systems in crowded scenes and with unfavorable camera angles.

FAQ

Frequently Asked Questions

Contact Us

Ready to Get Started?

Fill in the form and our team will get back to you shortly.