Our face recognition clocking in machine will dramatically improve your ability to collect reliable clocking data
One of the latest developments in biometric time and attendance is face recognition clocking in machine. This type of method of clock in and clock out is gaining increasing acceptance and is now one of the of the most commonly used credentials for identifying individuals.
What is Face Recognition and How Does it Work?
Face recognition is the use of advanced technology to identify or verify a person identity via selected facial features and matching that to stored time data. The technology is based on analyzing certain features that are common to every individual’s face. These features include the distance between the eyes, position of cheekbones, jaw line, chin, width of nose, shape of mouth etc. Every individual can be uniquely identified by combining these numerical quantities into a single code.
When a person is enrolled, the scanner takes a digital image of the face and with the use of a algorithm, it maps the unique structure of the face and the precise distance between features such us the eyes and the nose to create a biometric template.
Computime Face Recognition Clocking in Machine:
Computime IP enabled face recognition clocking in machine will dramatically improve your ability to collect a reliable clocking data, as it rules out the possibility of time theft. To use the face recognition terminal, the users stands upright in front of the device and face the display window, about 2 feet away. If the face matches the biometric template stored, the clocking is accepted.
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 system.
Features
- Prevents time fraud as it is challenging if not impossible for employees to clock in’ a friend or fake their identity.
- Fast enrollment and identification
- Built in RFID card/fob reader
- Each clocking in machine can stores up to 100.000 log records and 400 facial templates
- Audible and visual indicator to confirm clocking transaction
- Real-time communication with PUSH technology
- IP enabled Ethernet 10/100Mb
