NeoFace Watch is a high performance, highly scalable face recognition software application, providing the most accurate and fastest results for the most demanding real-time or post-event face recognition use cases: large volumes of data throughput, larger numbers of users, large numbers of devices, large scalable deployments.
Obtain facial images from video streams, still image storage, and third party integrated systems.
Assesses individual frames of video and still images, detects faces and analyzes each face to determine its unique facial signature. Creates a small template for each unique face.
Compares each template image against an enrolled image database until a match is found. Maintains a history of matches.
Allows configuration of real-time alerts or messages to be sent to users or external integrated systems if there is a positive match against a database image. Offers a suite of post-event image comparison tools.