Accuracy and Speed of Service
Better Personal Data Protection
No Physical Contact Needed
Maximize service security through the use of face recognition systems
Sightcorp Solutions For Security
Facial Recognition systems are used in order to ensure that security measures are implemented to their maximum potential and that there is no room for fraud or error within a given system. Sightcorp’s software allows a great deal of control and flexibility to companies who are looking to enhance their security systems.
Facial recognition utilizes a set of pre trained algorithms that compare faces with any given database in seconds. Moreover, it can be said that facial recognition systems are far more superior than other security authentication system, due to its low cost, biometric security as well as easy integration within other security systems. Face recognition systems don’t need any kind of physical interaction between the user and the software. The software is able to detect a face from distance, which makes the authentication process less complicated for both.
Crime and Fraud Identification
Sightcorp currently offers two products that carry out Face Recognition:
- Face Match SDK
- FaceMatch API
Face Match is a technology that enables users to verify whether two images of a face belong to the same person. Sightcorp’s Face Match software is designed to help businesses streamline AML and KYC processes and increase compliance. This is useful for, among others, financial institutions that are required to know their customers and obtain, verify, and record KYC information – including information that identifies each individual.
- Recognize, compare, and verify faces in <1 sec
- Identify and authenticate people
- Confirm and Detect liveness of user to prevent fraud
- Can run on the edge or in the cloud
Facial Recognition for Mobile Apps
How does Facial Recognition work?
Facial identification generally involves the mapping of “nodes” on an individual’s face to create what is known as a “faceprint.” This functions just like a fingerprint and includes things like the position of an individual’s eyes and nose – creating a set of data which is unique to each person.
Most face-based recognition systems use advanced cameras to capture images of subjects, which are then compared to existing faceprints on a centrally stored database. And with error rates below 1%, it’s one of the most accurate recognition technologies available, whether its used for security,surveillance or access control.
How effective is Face Recognition for security measures?
What is Facial Recognition?
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