Facial recognition
Face Recognition is a non-intrusive biometric technology designed to identify a person using distinguishing facial traits. In recent years, this technology has become increasingly used in real world systems for a variety of commercial, industrial and military applications.
Betaface’s computer vision algorithms represent effective and accurate accomplishments in this field. Betaface’s face recognition technology identifies a person regardless of lighting conditions of a shot, hairstyle or pose of a person. Our technology is constantly developing, using latest research available in the field and containing our unique, innovative algorithms.
Betaface is focused on processing and recognizing faces on large amount of various quality data (internet pictures, video content management). This differentiates Betaface from pure security-related recognition software providers, which aim mostly on portrait style, taken in controlled environment shots.
Face Recognition is a non-intrusive biometric technology designed to identify a person using distinguishing facial traits. In recent years, this technology has become increasingly used in real world systems for a variety of commercial, industrial and military applications.
Betaface’s computer vision algorithms represent effective and accurate accomplishments in this field. Betaface’s face recognition technology identifies a person regardless of lighting conditions of a shot, hairstyle or pose of a person. Our technology is constantly developing, using latest research available in the field and containing our unique, innovative algorithms.
Betaface is focused on processing and recognizing faces on large amount of various quality data (internet pictures, video content management). This differentiates Betaface from pure security-related recognition software providers, which aim mostly on portrait style, taken in controlled environment shots.
What is it for? Some application examples
Face detection:
Automatic face cropping for ID documents, for genealogy trees, for classmates mashups, scrapblogs, automatic thumbnail creation with face only, applications requireing intelligent face cropping algorithms.
Face recognition:
Face comparison (celebrity similarity measurement), automatic face matching with existing database, intelligent image tagging, composite faces creation, physical access control, surveillance systems, point of sales systems, credit card authorization, baggage-passenger matching.
Facial features tracking:
Automatic pupil distance measuring machine, automatic video recording systems, CCTV security applications, automotive safety, video games, video avatars, accessories application to face.
Face detection:
Automatic face cropping for ID documents, for genealogy trees, for classmates mashups, scrapblogs, automatic thumbnail creation with face only, applications requireing intelligent face cropping algorithms.
Face recognition:
Face comparison (celebrity similarity measurement), automatic face matching with existing database, intelligent image tagging, composite faces creation, physical access control, surveillance systems, point of sales systems, credit card authorization, baggage-passenger matching.
Facial features tracking:
Automatic pupil distance measuring machine, automatic video recording systems, CCTV security applications, automotive safety, video games, video avatars, accessories application to face.