Hand geometry technology has never been reverse-engineered to identify people. Hand geometry units do not store the image of the hand, but instead store a 9-byte template which is a mathematical representation of the hand image. This mathematical value is meaningless to other devices. In addition, no fingerprint or palm print information is gathered.
Compare hand placement on the platen to using a door knob/handle, money handling, telephone use, or shaking hands. As of June 2007, every handreader platen (Where user places their hand) contains an anti-microbial agent. These active agents are incorporated during the manufacturing process and because they cannot leach out or wash off the surface, remain active for the life of the biometric reader. This material does not change the look or the feel of the product but it continually protects the platen’s surface against microbes, making it cleaner and more hygienic.

You can be enrolled a new finger for the fingerprint unit or enroll with your left hand; palm up while the right hand is disabled for the HandPunch. It’s not as comfortable but will work just fine.

Not usually enough to reject a valid user. Just make sure the ring is in the upright position and hand placement is proper and there should not be any issues.
The HandPunch measures the unique size and shape of the fingers and hand. Over 90 different measurements are made such as, length, width, thickness and surface area. No finger prints or palm prints are taken.

To enroll an employee for the first time, the employee would put their hand into the HandPunch three times so that a CCD camera records 3 images of the hand. An algorithm converts these images into one mathematical value (Your template). This template is then stored in the HandPunch. Each time an employee puts their hand in the HandPunch to punch in or out of work, the HandPunch takes another image of the hand, the algorithm converts this image to a mathematical value and then compares this new template with the template the HandPunch has stored previously. If the two templates match, identity is confirmed and the punch is recorded.

Each time an employee punches in or out, their template is updated with each successful verification. Basically the machine “learns your hand”. This allows for changes due to weight gain or loss, aging, etc. This also eliminates the need to re-enroll users.

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  • What is Hand Geometry?
  • How does biometric fingerprint technology work?
  • How does biometrics save money?
  • What are the benefits of using fingerprints in biometric technology?

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