Empowering Safety With
Precision AI Security
Scaling secure identity verification and real-time surveillance for global enterprises and large-scale events.
Recognized Leader in Secure Facial Recognition
This platform provides advanced facial recognition and AI-driven surveillance solutions built for secure onboarding, real-time identity verification, and multi-person detection.
As the lead designer, I focused on simplifying complex security operations while ensuring frictionless user experiences across diverse environments—from corporate offices to large-scale outdoor events requiring drone-powered recognition.
The details at a glance
Unified Security Intelligence
Designing a frictionless AI-driven security ecosystem that provides real-time monitoring and instant identity verification at scale.
The goal was to integrate multiple surveillance streams—including drones and fixed cameras—into a single dashboard that identifies threats and verifies personnel without interrupting the flow of large crowds.
My contributions to the project
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Real-time Identity Verification Designed instant face-to-database matching for authorized access control and personnel tracking.
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Multi-person Face Matching Developed UI for identifying multiple individuals simultaneously in crowded, high-traffic environments.
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Autonomous Drone Recognition Created specialized interfaces for drone-based surveillance and large-scale recognition.
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Instant Threat Detection Implemented AI-powered weapon and anomaly detection with real-time alerting for security teams.
Aligning design with business objectives
Zero Friction Onboarding
Replace slow, manual identification with instant face scans and QR-based enrollment for events.
100% Real-time Detection
Ensure that threats and unauthorized individuals are identified and flagged within milliseconds.
Global Scalability
Build a design system that supports diverse camera hardware and massive data streams globally.
Understanding the security landscape
We analyzed the challenges of identity verification in high-traffic environments, focusing on how to balance high-level security with a "frictionless" user entry.
Key Research Methods
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Human Verification Pains Identified the average 2-minute delay in manual multi-person photo id checks.
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Identity Mapping Accuracy Mapped facial geometry recognition patterns to ensure low false-rejection rates.
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Surveillance Latency Audit Analyzed network bottlenecks for real-time video stream processing.
Converting AI power into simple UI
The ideation phase transformed high-level AI detection metrics into actionable security dashboards that security teams can use without specialized training.
Multi-person Matching
Developing a tagging system that identifies and tracks multiple faces simultaneously in live streams.
Autonomous Drones
Designing remote interfaces for drone fleets that recognize VIPs or flag threats from above.
Instant Alerting
A prioritized alert engine that surfaces weapon detection or unauthorized entries in real-time.
High-fidelity security intelligence
Impact and security metrics
The platform has redefined security operations for large-scale venues. By combining high-speed AI logic with an intuitive dashboard, we've enabled security teams to manage thousands of attendees with medical precision and military-grade security.
What this project taught me
True security design isn't about control; it's about intelligence and visibility.
This project deep-dived into the ethics and efficiency of AI in public spaces. I learned that the success of a security platform depends less on the power of the AI and more on how clearly that AI communicates its findings to human operators.
Balancing privacy concerns with security requirements was a key design challenge. We solved this by ensuring that identify mapping was both transparent and strictly permission-based, transforming surveillance from a "watchful eye" into a "protective shield."