Biometric Based Access Control System:-

To give selective access to some property or resources nothing can be most accurate and better than to grant or deny access on basis of his or her biometric features. Biometric features are the most unique features of human beings to distinguish which cannot be impersonated in anyway. The biometric features can be used for distinguishing and giving access accordingly on basis of facial features, eyes retina (IRIS), finger / thumb impression and many more.

ESSI Biometric systems are based upon two unique human features:
•    Iris  Based
•    Facial Features Based.

Iris Based Access Control System:-

ESSI provides  the IRIS based access control solution that is easy to operate, accurate and doesn’t require being touched. Iris is a disc shaped film located at the  front of the eyeball that contains very complex, random patterns that do not change during The lifetime of a person. Iris patterns differ from person to person and these patterns can be captured through an outside camera. Iris recognition uses individual differences in the complex patterns found in the iris of the human eye to authenticate individual identities. Iris recognition is the most precise of all biometric identification systems. The false acceptance ratio is so low that the probability of falsely identifying one individual as another is virtually zero.

Key Features

•  Voice Guidance: Speaker on the side provides operational guidance (“come closer” or “move to the left”) and

    recognition results.
•   IRIS Recognition Time : Approx 1 second.
•   Dry contact output available from reader .
•   Up to 10,000 user can be stored in the system.
•   Up to 5,000 user can be stored in the reader.
•   Optional Board using Wigand/RS-485 Connection .

Technology Used

An iris-recognition algorithm first has to localize the inner and outer boundaries of the iris (pupil and limbos) in an image of an eye. Further subroutines detect and exclude eyelids, eyelashes, and secular  reflections that often occlude parts of the iris. The set of pixels containing only the iris, normalized by a rubber-sheet  model to compensate for pupil dilation or constriction, is then analyzed to extract a bit pattern encoding the information needed to compare two iris images.
For identification  (one-to-many template matching) or verification(one-to-one template matching), a template created by imaging an iris is compared to stored template(s) in the database. If the Hamming distance is below the decision threshold, a positive identification has effectively been made because of the statistical extreme improbability that two different personscould agree by chance ("collide") in so many bits, given the high entropy of iris templates.

Face Recognition Based Access Control System:-

Face Recognition technology is the least intrusive and fastest biometric technology. It works with the most obvious individual identifier – the human face. Instead of requiring people to place their hand on a reader or precisely position their eyes in front of a scanner, Face Recognition systems silently take pictures of people"s faces as they enter a defined area. There is no intrusion or delay, and in most cases the subjects are entirely unaware of the process. They do not feel "under surveillance" or that their privacy has been invaded.

Key Features & Technology used

Physical or behavioral sample is captured by the system during enrollment. Unique data (facial features) is extracted from the sample and a template is created. The template is then compared with a new sample .The system then decides if the features extracted from the new sample are matching or not.

For more info see face detection and recognition system