Security & Surveillance AI Annotation Services

Build safer, smarter security systems with precision video and image annotation from Australia's trusted surveillance data labeling experts.

Why Security AI Annotation Quality Matters

Security and surveillance systems protect people, property, and critical infrastructure—accuracy is non-negotiable. Missed intrusions, false alarms, and incorrectly identified threats create systems that waste resources and compromise safety. AI Taggers delivers enterprise-grade security annotation with situational awareness expertise that ensures your surveillance AI understands complex security scenarios, threat patterns, and behavioral anomalies with precision.

Trusted by security technology companies, government agencies, critical infrastructure operators, and enterprise security teams to annotate millions of surveillance frames with security-critical accuracy.

Intrusion & Perimeter Security

Intrusion Detection

Annotate unauthorized entries, fence breaches, perimeter violations, and trespassing events across indoor and outdoor environments.

Perimeter Monitoring

Identify and track individuals, vehicles, and objects approaching or crossing security boundaries. Annotate fence lines, gates, and barriers.

Loitering Detection

Label prolonged presence, suspicious lingering, and abnormal dwell times in restricted or sensitive areas.

Tailgating & Piggybacking

Detect unauthorized individuals following authorized personnel through access-controlled entry points.

Vehicle Intrusion

Identify unauthorized vehicles, wrong-way driving, and vehicle-based security threats in protected areas.

Threat Detection & Behavioral Analysis

Suspicious Behavior Recognition

Annotate behavioral patterns including erratic movement, concealment attempts, and pre-incident indicators.

Aggressive Behavior Detection

Label physical altercations, fighting, aggressive gestures, and violent behavior for rapid security response.

Weapon Detection

Identify visible weapons including firearms, knives, and improvised weapons with frame-accurate timing.

Abandoned Object Detection

Annotate unattended bags, packages, and objects in public spaces for potential threat assessment.

Crowd Behavior Analysis

Label crowd density, flow patterns, panic indicators, and crowd emergencies for mass gathering security.

Access Control & Identity

Face Detection & Recognition Support

Annotate facial landmarks, head poses, and face quality metrics for identity verification systems.

Person Re-identification

Track individuals across multiple cameras and time periods with consistent ID maintenance.

Uniform & Badge Recognition

Identify security personnel, authorized staff, contractor badges, and uniform compliance.

Vehicle Recognition

Annotate license plates, vehicle makes/models, colors, and identifying features for access control.

Facility & Asset Protection

Asset Monitoring

Track high-value equipment, inventory, and assets across facility cameras for theft prevention.

Restricted Area Monitoring

Annotate access to server rooms, vaults, storage areas, and restricted zones with entry/exit timing.

Equipment Tampering Detection

Identify camera occlusion, vandalism, sensor interference, and surveillance system tampering.

Fire & Safety Hazard Detection

Label smoke, fire, flooding, and environmental hazards visible in security camera feeds.

Retail Loss Prevention

Shoplifting Detection

Annotate suspicious behaviors, concealment actions, bag stuffing, and theft indicators in retail environments.

Point-of-Sale Monitoring

Label transaction anomalies, under-ringing, scanning errors, and POS fraud indicators.

Employee Theft Detection

Identify unauthorized access to inventory, cash handling irregularities, and internal theft behaviors.

Organized Retail Crime (ORC)

Label coordinated theft patterns, flash mob robberies, and organized criminal activity indicators.

Security Domain Expertise

AI Taggers employs security-trained annotators who understand threat assessment and behavioral analysis.

Security threat taxonomy

Classification of threat levels, incident types, and security priorities based on industry standards.

Behavioral pattern recognition

Understanding of normal vs. abnormal behaviors, pre-incident indicators, and suspicious activity patterns.

Security operations context

Knowledge of security protocols, incident response priorities, and false alarm reduction strategies.

Regulatory awareness

Familiarity with privacy regulations, data protection requirements, and ethical surveillance guidelines.

Multi-camera coordination

Understanding of camera coverage, blind spots, and multi-view tracking requirements.

Security-Critical Quality Standards

Security applications demand zero-compromise accuracy.

Multi-stage verification process

Every security annotation passes through annotator → security reviewer → threat assessment auditor checkpoints.

100% human-verified threat detection

Real security experts validate all threat-related annotations including intrusions, weapons, and suspicious behaviors.

False positive minimization

Rigorous QA protocols specifically designed to reduce false alarms while maintaining high detection rates.

Temporal accuracy

Precise timestamping of security events for incident investigation and response coordination.

Chain of custody documentation

Detailed audit trails and annotation logs for evidentiary and compliance purposes.

Scalability for Security AI Projects

From pilot installations to city-scale deployments with 24/7 capacity.

500K+

Surveillance frames annotated

24/7

Annotation capacity

99%+

Threat detection accuracy

85%

False alarm reduction

Security AI Use Cases

Intelligent Video Analytics (IVA)

Train AI systems that automatically detect threats and security incidents in real-time surveillance feeds.

Perimeter Protection Systems

Build computer vision for automated intrusion detection reducing false alarms by 90%.

Loss Prevention Analytics

Develop retail AI that identifies theft, fraud, and shrinkage patterns saving millions annually.

Access Control Automation

Create facial recognition and credential verification systems for secure facility access.

Smart City Safety

Deploy citywide surveillance analytics for public safety and emergency response.

Critical Infrastructure Protection

Train AI monitoring systems for power plants, water facilities, and strategic assets.

Crowd Safety Management

Build systems that monitor crowd density and detect emergencies during mass events.

Incident Investigation Tools

Develop AI-powered forensic search enabling rapid review of hours of footage.

Security Sectors We Serve

Corporate & Enterprise
Retail & Commercial
Government & Public Safety
Transportation Hubs
Critical Infrastructure
Healthcare Facilities
Education & Campus
Residential & HOA

Why Security AI Teams Choose AI Taggers

Security expertise

Annotators trained in threat assessment, behavioral analysis, and security operations.

False alarm reduction

Quality protocols designed to minimize false positives while maintaining high detection rates.

Multi-camera tracking

Consistent person and vehicle tracking across camera networks with re-identification.

Privacy-first approach

GDPR-compliant workflows with de-identification support and privacy protection.

24/7 capacity

Round-the-clock annotation teams aligned with continuous security monitoring.

Security Annotation Process

1

Security Consultation

We review your surveillance environment, threat model, detection priorities, and compliance requirements. Our security experts develop annotation guidelines with your team.

2

Pilot Annotation

Annotate 500-1,000 representative surveillance clips across conditions. You evaluate threat detection accuracy and false positive rates. We calibrate workflows.

3

Production with Security QA

Distributed security annotation teams process your footage with continuous quality monitoring. Weekly reports track detection rates and false alarm metrics.

4

Delivery with Audit Trail

Receive annotations with timestamps, threat classifications, and confidence scores. Full documentation for compliance and evidentiary purposes.

Real Results From Security Teams

"AI Taggers reduced our false alarm rate by 85% while maintaining 99.5% detection of actual intrusions—exactly what we needed for our enterprise security system."

VP of Security Technology

Global Security Firm

"Their understanding of retail loss prevention was impressive. They caught theft patterns our internal team missed and helped us build a much more effective LP system."

Director of Asset Protection

National Retail Chain

Get Started With Expert Security Annotation

Whether you're building perimeter protection, loss prevention analytics, or citywide surveillance systems, AI Taggers delivers the security annotation quality your systems need.