1:1 – one to one facial verification refers to the input of two images to verify a person’s identity, or example, to grant access to a secure area in a building or to open a bank account at an ATM by using biometric scan. their included functions:

Pixel Solutions has extensive experiences in applying facial verification technology on a variety of projects, as listed below (further details can be found in the case study section):

• Exam candidate identity verification systems;
• Identity verification in health check system (paperless health check system as against the old OMR system);
• Recruitment identity verification system;
• Financial Institution & Notary Public office identity verification system.

1:N – one to many face identification refers to the input of an image to identity matches that are already stored (or not exist) in database. Facial biometrics can be used to determine a person’s identity without his/her awareness. This is usually used in VIP identification, blacklist face screening and other applications. Pixel Solutions has the world’s leading facial recognition technology and has excellent performance in international open data sets, database comparison, video surveillance and gate verification.

Pixel Solutions has provided face identification engines for a project with over 30 million faces of registered residents. It has also managed identification of an individual out of a database of 130 million face images.