XactID Face Recognition in the Wild
Identify persons of interest in real time across cameras, drones, and challenging environments with AI-powered facial recognition designed for operational security.
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Why XactID Is Different from Traditional Facial Recognition
Most facial recognition systems were originally developed for controlled environments such as access control points or indoor CCTV cameras. XactID was designed for real-world operational security, where faces are often captured from distance, motion, or difficult angles.
XactID effectively supports
Detection in dynamic real-world environments
Drone and aerial surveillance compatibility
Long-distance facial identification
Recognition of partially covered or masked faces
Identification of unknown individuals
Real-time watchlist alerting
Multi-camera and multi-site deployments
Automated security workflows
Advanced Facial Recognition Capabilities for Operational Security
Built for real-world security environments where traditional facial recognition systems struggle — including distance, motion, and complex visibility conditions.
Drone-Optimized Facial Recognition
XactID is engineered specifically for aerial and drone-based identification, enabling reliable facial recognition from moving platforms and high altitudes. The system has been field-tested using aerial surveillance platforms to validate performance in real operational environments. This capability allows security and defense teams to extend identity recognition beyond fixed infrastructure and monitor large areas efficiently.
Detection in the Wild
Designed for uncontrolled environments, XactID can identify faces in crowds, open spaces, and dynamic operational settings. The AI continuously analyzes video feeds to detect faces, classify unknown individuals, and match them against watchlists in real time. This capability helps security teams track persons of interest across large facilities and public environments.
Unknown Face Tracking
Every detected face is automatically captured and stored in an Unknowns database, allowing security teams to investigate unidentified individuals and detect repeated appearances over time. Operators can search similar faces, merge detections, and enroll individuals into watchlists for future monitoring. This enables proactive intelligence gathering and long-term threat tracking.
Recognition in Challenging Conditions
XactID maintains high identification accuracy in low-light environments, extreme angles, and partially obstructed faces such as masks or coverings. The system uses advanced image quality filtering, pose analysis, and temporal validation across multiple frames to maintain reliability where conventional systems fail. This ensures security teams receive dependable alerts even in complex real-world scenarios.
High-Accuracy AI Recognition Engine
XactID’s biometric models are optimized for speed, accuracy, and operational performance. The system achieves industry-leading benchmarks, including 99.85% accuracy on LFW and strong performance on challenging datasets such as CFP-FP and AgeDB, demonstrating reliable recognition across pose and age variations. Combined with multi-frame validation and similarity thresholds, the system minimizes false positives while maintaining fast real-time detection.
Performance Benchmarks and Real-World Testing
XactID’s recognition models were trained and validated using industry-standard biometric datasets to ensure high accuracy across a wide range of real-world conditions.
XactID demonstrates strong biometric performance across multiple benchmark datasets:
These results demonstrate reliable facial recognition performance even under significant pose, age, and environmental variations.
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