
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.
Book a demoRelated materials
FAQ
XactID is Scylla AI's facial recognition solution designed for real-world uncontrolled surveillance environments identifying persons of interest in real time across CCTV cameras, drones, and challenging conditions such as poor lighting, partial occlusion, and camera distance. Unlike traditional facial recognition systems that require controlled conditions, XactID is built to perform in the wild, meaning unpredictable, real-world security environments.
See also: XactID
"In the wild" refers to facial recognition that works under real-world, uncontrolled conditions like moving subjects, varying angles, partial face visibility, masks, hats, low light, and long camera distances, as opposed to controlled environments where subjects face the camera directly. Scylla XactID is specifically engineered for such conditions, making it suitable for deployment across public venues, perimeters, transportation hubs, and large-scale events.
See also: Face Recognition in the Wild
Scylla XactID is camera-agnostic and works with existing CCTV and IP camera infrastructure, as well as drone-mounted cameras with no hardware replacement required. This means organizations can deploy XactID's facial recognition capabilities on their current camera investment without additional hardware costs.
Scylla XactID continuously compares detected faces against enrolled watchlists in real time, generating an immediate alert when a match is identified, with camera location, timestamp, and a confidence score. Security operators can build and manage watchlists directly within the platform, adding persons of interest from uploaded images or enrolling them automatically via the Auto-Enrollment feature.
Yes. Scylla XactID is specifically designed to operate with drone-mounted cameras in addition to fixed CCTV infrastructure, enabling aerial surveillance and identification across large outdoor areas, perimeters, and events. This makes XactID particularly valuable for military, critical infrastructure, and large venue security applications where ground-level camera coverage alone is insufficient.
Scylla XactID can be directly integrated with access control systems, enabling face-based authentication to replace or augment traditional badge or PIN-based access at entry points. This creates a seamless, touchless access control layer that can trigger door unlocking, alert on unauthorized access attempts, and log every entry event with a facial match record and timestamp.
Scylla AI is GDPR compliant and has designed XactID with data privacy requirements in mind. The system does not retain biometric data unless explicitly configured to do so, and all data processing can be deployed on-premise or on the Scylla Asteria™ edge appliance to keep sensitive biometric data local. Organizations deploying XactID are responsible for ensuring compliance with applicable local regulations, including GDPR, CCPA, BIPA, and the EU AI Act's high-risk AI classification for biometric surveillance systems. Scylla's team can support customers through the compliance assessment process.
Scylla XactID performs real-time identification, including detection, matching, and alert generation in under one second from the moment a face is captured by a connected camera. This near-instantaneous response time is critical in high-security environments where delayed identification can mean the difference between intercepting a threat and losing it.
XactID is deployed across a wide range of high-security environments including sports venues, airports, military installations, corporate campuses, healthcare facilities, casinos, data centers, and large-scale public events. Any environment where identifying specific individuals in real time, whether from a watchlist, an access control database, or a prior incident record, is operationally critical is a strong fit for Scylla XactID.



