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Roubler’s roadmap for the future includes a best in class facial recognition face scanning time clock system, developed entirely with the end user in mind. Employee time and attendance management has been a constant challenge for employers throughout Kenya. Roubler’s sophisticated and reliable technology will utilise any tablet or mobile device to capture employee attendance and avoid time theft and eliminate false logins.
The traditional employee bundy clock and biometric fingerprint time and attendance systems have been highly regarded and widely used throughout Kenyan workplaces for many years. The speed of technological change has provided for advancements in workplace time and attendance systems and will allow Roubler to adapt this biometric system to the application of facial recognition.
Facial recognition time and attendance systems are truly “contactless” meaning no longer do you need the expense and administrative burden in managing the issue and replacement of swipe tags or key tags for your time clock.
Roubler’s deep learning technology will allow employers to have absolute confidence in their facial recognition time and attendance system. As Roubler’s time clock scans the face of each employee, it will continue to learn any changes to the face of that particular employee. For example, if the employee starts wearing glasses or grows facial hair, Roubler’s technology will continue to learn and update its database and algorithm.
Facial recognition is entirely accurate and secure with no opportunity for employees to buddy punch or clock in or out for fellow employee. Time theft through proxy attendance by employees in the workplaces is reported to cost employers approx. 4.5 hrs per week totalling nearly 6 full weeks per year.