Face recognition reduces the effort of clocking in, and understanding employees' emotions has improved the workplace atmosphere. Productivity and accuracy have also improved, making operations more efficient.

Background

Because many workers are involved in the manufacturing process, working hours must be recorded accurately and entry and exit must be controlled, but managing this was time-consuming. In addition, the company was slow to detect employee stress, so it felt it needed a tool that would let it take measures for employee health.

1. Accurate recording of working hours and access control were necessary, but were time-consuming to manage
2. A measure for managing employee health

What were the deciding factors in choosing TIGEREYE’s KAOPASS Attendance & KAOPASS Stress Checker?

Other systems cannot manage attendance with face recognition and run stress checks at the same time. TIGEREYE’s KAOPASS Attendance lets us use stress checks alongside it, and because the service is supervised by a physician, we found it attractive in terms of reliability and management. Another deciding factor was that no dedicated equipment is required, and employees can clock in on the smartphones the company has already given them.

1. Attendance clock-ins and stress checks can be done at the same time
2. Attractive in terms of reliability and management, as it is supervised by a physician
3. No dedicated equipment is required, and employees can clock in on devices already distributed to them

Changes after deployment

Because employees clock in with their face alone, they don’t need to remember IDs or passwords, which has reduced the support workload.
We feel the system makes it easy to register and clock in, even for employees in age groups that are less comfortable with technology. In addition, because we can now see employees’ emotions as numbers in real time, we can understand their stress levels and offer support early. We feel that this has created a brighter atmosphere in the workplace, increased employee motivation, improved work accuracy and productivity, and led to greater efficiency and cost reductions across our operations.