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The latest technology allows the use of app (application software) based geo-fence capabilities. [2] Allowing an employee to clock in & out only when they are within an internet geolocation. Facial recognition systems are also available with these app based software technologies, eliminating the need of fingerprint scanners.
Automated fingerprint verification is a closely related technique used in applications such as attendance and access control systems. On a technical level, verification systems verify a claimed identity (a user might claim to be John by presenting his PIN or ID card and verify his identity using his fingerprint), whereas identification systems ...
Fingerprint sensors can be found on mobile devices. The fingerprint sensor is used to unlock the device and authorize actions, like money and file transfers, for example. It can be used to prevent a device from being used by an unauthorized person. It is also used in attendance in number of colleges and universities.
The most popular systems used the pattern class of each finger to form a numeric key to assist lookup in a filing system. Fingerprint classification systems included the Roscher System, the Juan Vucetich System and the Henry Classification System. The Roscher System was developed in Germany and implemented in both Germany and Japan.
Biometric time clocks are a feature of more advanced time and attendance systems. Rather than using a key, code or chip to identify the user, they rely on a unique attribute of the user, such as a hand print, finger print, finger vein, palm vein, facial recognition, iris or retina. The user will have their attribute scanned into the system.
A facial recognition system [1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces. Such a system is typically employed to authenticate users through ID verification services, and works by pinpointing and measuring facial features from a given image. [2]
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