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Home / Clocking in Machines / Fingerprint Clocking in Machine

Our fingerprint clocking in machine creates a biometric template

Biometric time and attendance has gained popularity over the last decade with many organisations opting for fingerprint clocking in system to track employees clocking data. Unlike key fobs or cards, which can be lost or forgotten, fingerprints cannot be transferred and offers many advantages over conventional methods.

As you introduce a fingerprint clocking in machine to your organisation, there is  one human factor you could potentially face from your employees which need to be addressed, so you can foster a trusting relationship in regards to the biometric system. This human factor is the issue of privacy rights and why it is such an issue. The reasons include the fear of your employees giving up their physical and biological attributes, the biometric data being stored in the fingerprint clocking machine and the data being shared with third parties.

When you enroll an employee the scanner takes a digital image of the fingerprint and with the use of a very sophisticated software it identifies the points where fingerprints intersect or end and creates a map of these points which is referred to as a biometric template. Once the template is created the image is then discarded. So there is no risk of any sensitive information being stored. Additionally, the template cannot reversed or engineered to recreate the physical and biological images that were captured in the first place.

A point to note is, there could be a small number of employees who will just object outright to using such a system, or you may have some employees that simply cannot use the fingerprint clocking machine because of physical reasons i.e. some employees may have no fingerprints due to years of using abrasive materials. In these cases you must offer them an alternative option. Modern fingerprint clocking in systems are equipped with built RFID card or fob reader and PIN feature.

Computime IP enabled fingerprint clocking in machine will dramatically improve your ability to collect a reliable clocking data, as it rules out the possibility of buddy punching. It features the fastest commercial-based fingerprint matching algorithm and high image quality infrared detection fingerprint sensor.

To use the fingerprint terminal, place your finger on the scanner, if your fingerprint matches your biometric template, the transaction is accepted otherwise it will be rejected.

Incorporating the innovative PUSH technology, employee clocking data is transmitted to the server automatically and in real time. This method has established itself as the most reliable and efficient communication method between the time and attendance software and the clocking in machine.

  • High image quality infrared detection fingerprint sensor
  • Matching speed less than 0.5 second
  • Built in RFID card/fob reader
  • Sleek design
  • Each clocking in machine can stores up to 100.000 log records and 3.000 users
  • Audible and visual indicator to confirm clocking transaction
  • Real-time communication with PUSH technology
  • IP enabled ethernet 10/100Mb
  • Optional WIFI communication
  • Power over Ethernet option available

As there is no physical contact between the card/fob and the reader, neither will become worn out by continuous use or are effected by dust or residue from the working environment.

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Time and Attendance

  • Time and Attendance Systems
  • Time and Attendance Software
  • Biometric Time and Attendance
  • Absence Management
  • Flexitime Software
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  • Attendance Display Panel
  • Fire Roll Call Management System
  • Employee Self Service Application
  • Mobile Workforce Application
  • Sage Payroll Integration

Access Control

  • Access Control Security Systems
  • Face Recognition Door Entry Systems
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    • Fingerprint Door Entry Systems
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Clocking in Systems

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    • Battery Operated Clocking in Machine
    • Face Recognition Clocking in Machine
    • Fingerprint Clocking in Machine
    • Swipe Card Clocking in Machine
    • Face and Palm Recognition with Temperature and Mask Detection

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