Technologies Behind Biometric Time and Attendance Systems

Understanding the emerging technologies behind Time and Attendance Systems


Biometric Time and Attendance systems work by studying the unique human characteristics of a person such as fingerprints, eye structure, and hand geometry or voice pattern. Considering the security concerns involved, manufacturers of biometric identification systems are coming up with more secure technologies. This not only helps to address security and accuracy issues but also makes their use more efficient.

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New Technologies used

Along with the advancement of technology, the security of human beings has been threatened by crime that can occur anywhere. Currently, biometrics is being used for protection whereby a person is identified by his behavioural or physical features. Several parts including fingers, iris, retina, ears, and the face are used for identification today.


Behavioural recognition analyses the behaviours of a person such as gait and walking style to identify a person. The unique characteristics of an individual typing are also employed for identification although not much applied for time and attendance systems. Vein recognition is a type of biometric identification whereby the vein pattern of the fingers or palm are compared to a sample stored in a template.


Touchless Biometric Technology is a revolutionary technology that has redefined time and attendance systems. TBS employs 3D touchless fingerprint sensors connected wirelessly to a cloud-based kiosk. This makes it possible for users to register their attendance at any time without physical encounter with the scanner. Storing data in the cloud facilitates easy monitoring of employee or student transfers between international branches.


Accuracy of Biometric Identification Methods

Biometric time clocks are accurate and secure as only unique credentials are used for identification. Since physical characteristics cannot be duplicated or forged, biometric identification becomes the most secure system to identify individuals. By eliminating buddy punching, biometrics effectively curbs time theft whereby other employees sign in co-workers who are not present.


Safety of Biometric Systems

While many people worry that hackers or law enforcement agencies can gain access to biometric systems, this is not the case. A biometric time and attendance system can only be used by the company using it. Additionally, only biometric data is used and nothing worthwhile would be retrieved in the unlikely event of hacking.


Data Deletion

To improve the security of biometric attendance systems, modern technologies enable conversion of employee attributes into a series of coordinates rather than storing the real images. It is this template that is used for identification in subsequent uses of the system. Most of the clock manufacturers have their algorithm for creating templates that is not compatible with that of other manufacturers.


Interpreting Data on Time and Attendance Systems

Most time management systems are designed to address the challenges of employee attendance in business environments. The systems incorporate time software that generates accurate reports showing when an employee was present or absent. Their application extends to the calculation of overtime pay in businesses where employees work beyond the normal working hours. New technologies also incorporate features such as emailing reports to heads of departments.


Attendance software may also be integrated with short messaging services to remind employees who do not clock. These systems also generate statutory reports, reimbursement reports, loan reports, and master reports which are user friendly.


Conclusion

The emerging technologies behind time and attendance systems are the solution to employee attendance in the business environment. By utilising unique personal characteristics, biometric systems restrict access to authorized personnel only. These systems also provide the most accurate attendance solution available, eliminate buddy punching, and the reports generated are easy to understand.