Biometric technology can be used as a type of employee time management system because of its ability to recognize people’s unique physiological characteristics. Biometrics based time and attendance terminals are becoming increasingly popular in today’s market because of their many benefits (and, let’s face it, hand or face scanning equipment is just pretty awesome). Because biometrics terminals read a person’s unique fingerprint, iris, hand shape, or face shape, they ensure that employees cannot clock in for one another, thereby preventing employee time theft. Biometric attendance systems and Attendance Software are quickly gaining foothold in most offices and institutions, all thanks to an increased need for transparency and accountability, flexible work culture, and a mobile workforce. There are a number of ways that employers can end up in legal trouble, but among the most common is a failure to pay workers what they are owed. In order to do that, business owners need to make sure they are keeping careful track of employee hours. This is one of the main reasons why an attendance monitoring system is so important.
Advantages of Biometric Time Systems and Attendance Software
NO PROXY ATTENDANCE: A biometric time attendance system enables you to eliminate employee proxy attendance (or buddy punching). Physiological features like fingerprints are nearly impossible for someone to replicate or share, and thus makes it foolproof.
REAL-TIME DATA: Modern biometric time attendance systems easily connect with your HR software. This enables you to make reports without any difficulty, based on the latest data for analysis. You don’t have to wait for the data to be updated for verification.
PAYROLL ERROR REDUCTION: Attendance and leave management are connected to payroll, which is very important . A biometric attendance system connected with your HRM software, enables your team to reduce (and even eliminate) errors related to payroll processing.
LOW COST: Since it is based on physiological features such as fingerprints, you don’t have to worry about extra costs of RFID/Chip cards, which turn out to be expensive, as employees tend to lose such cards or in case they abscond, both of which are quite common these days.
How Does Biometric Time and Attendance Software Work?
Step 1: Biometric Devices: Using biometric time and attendance systems allows employees to clock in and out using their fingerprint, retinal scan, etc. Often times this process is also accompanied by a PIN (Personal Identification Number) which must also match the fingerprint or other scan.
Step 2: Time and Attendance Software: Pairing your biometric device with a time and attendance software allows for more efficient payroll and attendance processing. Rather than spending hours adding up manually submitted clock-in and clock-out times, your biometric time and attendance software will allow you to automatically import data into your payroll software.This will significantly cut down on processing time and will eliminate errors derived from manually inputting information.
Different Types of Biometric Devices
Fingerprint Scanner: Fingerprint Scanners are probably the most common type of biometric time and attendance device, simply because they are easy to use and are generally quite accurate (reputed 99% accuracy).
Hand Punch Scanner: Hand Punch Scanners record and store the 3D shape of an employee’s hand in order to compare and verify the individual. These biometric devices are generally more expensive than a fingerprint scanner, however they can be more accurate as they analyze more than just the fingerprint.
Retinal Scanner: Retinal Scanners use a technology that captures an image of eye patterns in order to compare them to previously recorded images. These systems are also quite accurate for time and attendance, however they can be harder to find, as fingerprint scanners are usually more common.
Voice Scanner: Voice Recognition Devices record a series of verbalized words and compares the patterns to previously recorded clips. The level of accuracy on voice recognition devices may sometimes be lower than fingerprint scanning, however they are often times quite accurate.
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