Although fingerprint biometric attendance systems have revolutionised attendance management, a new kid is on the block. Face recognition biometric attendance systems make up for the errors and inconvenience of their predecessors to ensure efficient employee management.
Besides recognising employee faces when clocking in, they are compatible with payroll systems to streamline HR duties. It shows that there is more to learn about these systems for better implementation in the workplace. Here is a breakdown of how a face recognition biometric attendance system works. How Does Face Recognition Work? Capturing Employee Images The face recognition biometric attendance system uploads employee images to the database. The database processes and stores these images by converting them into an analogue. It also maps out facial features like the size of lips, forehead, nose and distance between eyebrows to easily detect each employee. Detection After all employee details are input into the biometric attendance systems, you must install cameras in entryways. Alternatively, these face recognition systems integrate with mobile apps for quick scanning using smartphone cameras. When checking in, the facial recognition biometric attendance system will capture an individual’s face and compare it with images in the database. Analysis After capturing and detecting the image, the biometric attendance system analyses it by comparing facial features. A system like the KENT CamAttendance has a 99.9% accuracy in distinguishing a face from other objects. It collects and converts face recognition data into a face print that combines identification points and numbers. Source: How A Face Recognition Biometric Attendance System Works?
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