NeoFace Watch is face recognition surveillance software for federal agencies that need faster visibility across live security operations. It helps teams monitor active video feeds, compare subjects against watchlists, and generate alerts when a person of interest appears. For agencies responsible for secure facilities, transportation hubs, border environments, and other sensitive locations, that means a stronger way to detect, assess, and respond in real time.
This platform is built for federal missions where surveillance must work at scale. NeoFace Watch supports multiple camera feeds, live monitoring, and post-event video search in a single environment, helping security teams manage high-volume activity without relying solely on slower manual review. It is designed to perform in real-world conditions, including crowded scenes, poor lighting, moving subjects, and complex operational settings where speed and reliability both matter.
The value is more than recognition alone. NeoFace Watch helps federal organizations improve situational awareness, strengthen watchlist monitoring, and make better use of existing video infrastructure across day-to-day operations and elevated security events. Because it supports both real-time alerting and archived video review, teams can respond faster in the moment and review activity more efficiently afterward. As a result, this face recognition surveillance software for federal agencies helps turn large-scale video operations into a more actionable security capability.
Compare faces from live camera feeds against watchlists and generate alerts when a person of interest appears.
Review archived footage to locate individuals and support faster follow-up after incidents, alerts, or security events.
Process large volumes of camera feeds in a single environment built for high-volume federal surveillance operations.
Support matching in crowded spaces, poor lighting, and other challenging surveillance environments.
Integrate with existing video and security infrastructure through a web-based architecture designed for large-scale use.