About Verifyfaces
The Verifyfaces project was born out of a desire to develop a security system with ‘enterprise performance and features’ without the huge costs associated with proprietary hardware and specialist IT support.
Due to its compatibility with existing hardware and its unique cloud-based platform, the Verifyfaces video face matching system offers businesses the same quality of outcome as the large proprietary systems, without the price tag.
About Verifyfaces
The VerifyFaces project was born out of a desire to develop a security system with ‘enterprise performance and features’ without the huge costs associated with proprietary hardware and specialist IT support.
Due to its compatibility with existing hardware and its unique cloud-based platform, the VerifyFaces video face matching system offers businesses the same quality of outcome as the large proprietary systems, without the price tag.
Verifyfaces puts you back in control of proactive security and customer experience
Manually monitoring security surveillance data is very inefficient, possibly taking hours if not days to detect an intrusion. Verifyfaces will quickly and accurately match faces against pre-set galleries, alerting you when a person enters your premises or requests access. The Verify solution streamlines surveillance with increased accuracy and lower operating costs.
Verifyfaces features one of the world’s most advanced facial recognition algorithms available to private enterprise. This is the same algorithm used by most of the western countries for Border Protection, Security, Passport Control and SmartGates, has been proven in the field for over 40 years.
What's the difference?
Facial Recognition
Facial recognition refers to the technology used to identify or verify individuals based on their facial features. It involves capturing an image of a person’s face, extracting key facial features or patterns from the image, and comparing them against a database of known faces to determine the person’s identity.
Face Matching
Face matching is a specific application of facial recognition technology that compares two facial images to determine if they belong to the same person. The system typically compares a captured image with a local database of known faces to find a match.
