Weapon Detection
Automated identification of firearms and dangerous objects in public or sensitive areas. Buy critical seconds for emergency response.
Weapon Detection Digital Center
Actively monitor camera feeds for visible weapons. The system evaluates video frames instantly on edge processing nodes, triggering lockdown relays upon high-confidence alerts.
Firearm Detected — Zone B Lobby
Visual firearm threat verified at lobby turnstiles. System initiated automated door locks and broadcast emergency alerts.
Detection-to-Dispatch Workflow
Follow the automated lifecycle from real-time GPU frame ingestion to active threat spotting, local lockdown relays, and police dispatches.
Feed Ingestion
RTSP stream capture
Auto-ingest RTSP video feeds from cameras at entrances, lobbies, and parking areas in real time.
What happens in this step
- Capture raw 1080p feeds at 30 FPS with sub-100ms packet ingestion
- Perform RTSP stream validation and check auto-reconnection logs
- Decompress H.264/H.265 video frames directly on local GPU pools
- Enforce end-to-end stream security keys to prevent packet intercepts
System functions activated
Detection Incident Log
Track verified threat incidents across all facilities. Access timestamps, camera ID records, threat shapes, and response logs.
Handgun (High Confidence)
Lockdown doors triggered. Guards dispatched. Police notified.
Individual pulled firearm at lobby turnstiles. Automated door locks deployed in 0.4s. Threat was contained in vestibule area.
False Positive Pattern Analysis
Eliminate alert fatigue. Trace false positive alerts systematically, identify shape and light variables, and deploy AI calibration advice.
Analyze shape and environment variables systematically to update local models and minimize false alerts without compromising safety.
Umbrella handles backlight
Findings & Variables
- 1J-shaped umbrella handles match typical handgun grips in bounding coordinates
- 2Direct daylight reflections on metal shafts mimic firearm metallic profiles
- 3Rainy weather stage density at lobby entrance turnstiles caused shape overlaps
AI Mitigation Advice
Tune confidence thresholds to ignore static linear shapes. Deploy secondary classifier filters checking wet weather status codes.
Supported Detection Scenarios
Configure threat detection rules for varying security zones, carry regulations, and campus layouts.
Open-Carry Zones
Implement spatial models to track visible weapons and monitor perimeter safety boundaries.
Concealed-Carry Zones
Spot brandished weapons immediately at doorways or checkpoints before incident escalation.
Restricted Facilities
Verify zero-tolerance zones (e.g. data centers, offices) with continuous multi-camera visual watch.
Transit & Public Areas
Deploy edge inference on subway platforms and lobby vestibules for immediate threat detection.
Connected Security Stack
Eliminate gaps. Bind visual weapon alerts directly with physical access locks, mass notification APIs, and emergency channels.
Access Control Systems
Integrate threat logs directly with door locks and physical security gates to containerize threats.
VMS & Storage Hubs
Record alarm feeds and compile clip packages in Milestone, Genetec, or local secure storage systems.
Public Notification (EAS)
Broadcast mass text, email, and desktop notification alerts to campuses during active threats.
Dispatch Integrations
Post verified threat snapshots and coordinates directly to security desks and police dispatch centers.
Numbers from real engagements.
Alerts go out before a threat can escalate inside the building.
Trained on massive weapon datasets to ensure high reliability.
Instant emergency broadcasts to security teams and police.
Built for teams that need this to just work.
Who this is for
- Schools, campuses, and educational institutions looking to improve active threat posture.
- Airports, transit hubs, and corporate offices requiring rapid response to public security threats.
- High-risk retail or banking locations needing visual firearm verification.
A full-stack capability - not a job title.
Every engagement is led by senior practitioners. You meet them in the pitch; they ship the work.
Visible Weapon Spotting
Detects handguns, rifles, and other threat objects instantly as they enter camera sight.
Automated Lockdown Integration
Directly trigger door locks, alarms, and emergency notification systems upon verified weapon detection.
Multi-Camera Tracking
Follows the threat trajectory across multiple overlapping camera feeds to provide continuous telemetry.
A repeatable path, every time.
Model Tuning
Optimize object recognition parameters for varying light and camera resolutions.
Action Plan Integration
Connect alerts to local law enforcement dispatch and internal emergency channels.
Hardware Check
Ensure camera resolution and frame rates meet detection guidelines.
Industrial technology your operation can rely on.
We combine edge video feeds, deep learning models, and automated response pipelines to make this solution practical for real security operations.
Edge Inference
Local model execution
Object Tracking
Spatiotemporal tracking
Stream Management
Low-latency ingestion
Model Training
Proprietary datasets
The questions we hear most.
Can it detect concealed weapons?+
No, this is visual-based AI. It detects weapons once they are brandished or visible on camera.
How does it handle holstered firearms?+
The AI can be configured to ignore holstered weapons on authorized security personnel.
Most engagements span more than one practice.
Free consultation
Turn Your Vision
Into Reality
Ready to scope this in detail?
A 30-minute call with a senior engineer. No sales theatre — just a real assessment of fit, scope, and timeline.