Better Security Using Face Recognition System Article

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Better Security Using Face Recognition System

To cope up with the increasing rate of threats Face Recognition System is gaining importance common people.nowadays in global market.

Author: Swaty Agarwal

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Today, in this real world, security is the main concern everywhere, whether considering professional or personal life. Keeping this concern in mind, biometric face recognition solution has been developed, which can be used anywhere in the business or at home.

The main idea behind face recognition system is to promote untouchable means which can provide better security than the touchable means, as because when individual can touch something, the problem of threat increases. The main reason behind its popularity is its efficiency, reliability, accuracy and platform independency.

The various features which are responsible for its uniqueness can be listed as follows:-
Simultaneous Multiple Face Processing:

Conventionally, it was not possible to capture multiple faces in a single frame and processing it in less time but development of Face Recognition System has devised a technique by which a single frame can capture multiple faces at the same time. Detection and processing of images is much faster than the earlier method.

Compact Size:

This technology is known for its compactness. The facial features captured using the source when stored, occupies only 2.3 kilobytes of the memory space. Thus, it can handle a large facial database. Thus, it saves unnecessary device overhead.

Live Face Detection:

With the conventional approach, due to lack of technological advancement, degree of fraud was more the approach was not smart enough to differentiate between photograph and a real human being. With the face recognition system since it takes view from different angles so, it can easily differentiate between the original and the artificial and can alarm in accordance.

Tolerance to Face Posture:

The face recognition system can also tolerate a partial face movement as per its convenience.
For example, head can be rotated till 10 degrees from front to any direction (left/right, up/down, tilt left/right).

Multiple Samples of the Same Face:

Face recognition system captures different views of an individual from different location considering various looks and expressions of the individual. This is done to improve the matching quality. If a person gets scanned by the device once, he/she never scanned for the second time, to avoid seer wastage of time.

Identification Capability:

Identification is done by 1-to-1 verification. The captured patters match with the stored patterns, and when the match is found the image is processed using 1-to-many mode, which makes it more flexible in this changing world.

Fast Face Matching:

This system uses matching pattern algorithm which makes it so speedy that it can match 100,000 faces per second, which again is an advantage over the previous methods used.

Installation Requirement:

Due to its platform independency, installation becomes very easy which is again a big concern. This application requires a terminal PC which is mainly used for identifying and processing of the image when it is captured and then the data is stored in the database. The database can be placed in a separate server or in the same terminal. The data can be retrieved whenever necessary.

Application of Face Recognition System:

1) Time Attendance System: It is mainly used for recording the attendance of the employees at work, students at collage etc.

2) Access Control System: It is used for granting the permission to use various resources at various places.

3) Visitors Management System: It is used to keep track of number of visitors visiting an organization and also to keep a check on arrival of the banned visitor.

All above stated application follows algorithm for recognizing the faces and can be used in both professional and in personal life. The features stated above makes it more effective to provide security at work place and at you residence.

About Author

Author is related with face recognition system site aditechjustlook.com. Author often writes articles on visitor management system and face recognition solutions.

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