Power next-gen security and surveillance systems with expert data annotation that accelerates machine learning model development and ensures faster, smarter threat detection.
Use cases
AI-Powered Weapon Detection
Detect and classify potential weapons in real time using AI models improving public safety, security monitoring, and rapid threat response.
Smart Face Recognition & Analysis
Identify, verify, and analyze faces with high accuracy — powering secure access control, surveillance, and personalized user experiences.
Advanced Biometric Intelligence
Leverage AI-driven biometric analysis to recognize fingerprints, iris scans, and facial patterns for secure, scalable authentication systems.
AI-Driven Pandemic Compliance Monitoring
Ensure public health safety with automated mask detection, social distancing checks, and real-time compliance alerts for high-traffic zones.
Intelligent Person Tracking Systems
Track and follow individuals seamlessly across frames — ideal for crowd management, retail analytics, and security surveillance solutions.
Next-Gen Autonomous Drone Surveillance
Enable drones to autonomously monitor, detect, and track objects — supporting defense, agriculture, disaster management, and smart city operations.
Learning Spiral for Security
Machine learning is transforming the security industry — streamlining documentation, preventing data breaches, and detecting fraud in real time.
But the backbone of every reliable security AI system is high-quality data annotation.
At Learning Spiral AI, our advanced annotation workflows are designed with strict quality checks, expert reviews, and efficient iteration cycles to deliver consistently accurate datasets. This enables faster, smarter AI model training and helps you take your security solutions to production up to 5x faster.
