to attempt to identify a person or verify a person’s claimed identity. Regardless
of specific method used, facial recognition is accomplished in a five step process.
1. First, an image of the face is acquired. This acquisition can be accomplished
by digitally scanning an existing photograph or by using an electro-optical
camera to acquire a live picture of a subject. As video is a rapid sequence of
individual still images, it can also be used as a source of facial images.
2. Second, software is employed to detect the location of any faces in the
acquired image. This task is difficult, and often generalized patterns of what
a face “looks like” (two eyes and a mouth set in an oval shape) are employed
to pick out the faces.
3. Once the facial detection software has targeted a face, it can be analyzed. As
noted in slide three, facial recognition analyzes the spatial geometry of
distinguishing features of the face. Different vendors use different methods
to extract the identifying features of a face. Thus, specific details on the
methods are proprietary. The most popular method is called Principle
Components Analysis (PCA), which is commonly referred to as the eigenface
method. PCA has also been combined with neural networks and local feature
analysis in efforts to enhance its performance. Template generation is the
result of the feature extraction process. A template is a reduced set of data
that represents the unique features of an enrollee’s face. It is important to
note that because the systems use spatial geometry of distinguishing facial
features, they do not use hairstyle, facial hair, or other similar factors.
4. The fourth step is to compare the template generated in step three with those
in a database of known faces. In an identification application, this process
yields scores that indicate how closely the generated template matches each
of those in the database. In a verification application, the generated template
is only compared with one template in the database – that of the claimed
identity.
5. The final step is determining whether any scores produced in step four are
high enough to declare a match. The rules governing the declaration of a
match are often configurable by the end user, so that he or she can determine
how the facial recognition system should behave based on security and
operational considerations.
FRS Supervision is a Cutting-Edge solution for remote facial recognition through Web / 3rd Generation (3G) Cellular and TCP/IP networks. The solution allows both local and remote recognition through fast and smart facial recognition engine. The system performs 24/7 supervision on user activities.
Most of the people store their personal or business information in computers. However, with the trend of increasing number of identity thefts, conventional way of using ID and password to protect access to computer involves lot of risks .
The world faces a lot of threats and risks at this present era and for the same reason the need for upgrading and integrating the security needs at all levels are highly vital.
Web Access is an innovative solution for remote facial authentication through Web and TCP/IP networks. The solution allows remote Face Authentication through a Web Component which could be embedded on any web page. The system does Face Recognition and allows to face-authenticate a user along with password authentication. WebAccess is a revolutionary mechanism that facilitates secure login to a remote site from a web page. Web Access component will be embedded in login authentication web page.
Hotels are the pillars of hospitality industry. A good hotel is identified by its good service offer. Good service includes security. A hotel with the best service but poor security would expose guests to crime risks and compromise reputation and goodwill. Hoteliers are responsible for the protection of property and well-being of their guests.
The banking and finance sectors have always been victims to robberies and fraud attempts. This poses a threat to both the employees and the customers. Fraud attempts are happening inside the tellers. People can be victims of robberies at ATMs where they withdraw cash from. It is therefore a high priority to ensure safety and security at these places to solve any incident quickly and accurately. 
Recognition system uses Biometrics- a person’s distinguishing traits- to auto-recognize a person. 
We undertake research and development of Biometric-based projects at a consulting level. It includes designing, engineering, integration and implementation of customized biometric solutions. We provide biometric solutions with an excellent balance between quality and price, protecting corporate security and personal identity using smart biometric authentication algorithms. These solutions provide the best security with the latest technology. We also create embedded computing solutions and which can be integrated with the biometric solution too.
