Achieving Zero Clock-in Errors with Facial Recognition: Streamlining Attendance in a 100-Staff Store

CyberLink Corp. (hereinafter referred to as CyberLink) announced that Jobcan Attendance Management's iPad facial recognition clocking system, equipped with its AI facial recognition engine FaceMe®, has been implemented at the largest store operated by Bondish Inc., a food service provider.

With this implementation, the store, which has around 100 staff members, transitioned from conventional clocking methods to contactless, automated facial recognition clocking, achieving zero clock-in errors. As a result, the administrative workload required for error correction was significantly reduced. Furthermore, it enabled smooth, hygiene-conscious attendance management operations, contributing to a lighter burden for both on-site staff and HR managers.

< Background of Implementing Jobcan's "iPad Facial Recognition Clocking" >

Bondish Inc. is a food service company that operates employee cafeterias, catering businesses, and cafes. At their largest store with approximately 100 employees, the following issues had become apparent with their traditional attendance management:

- Operational burden caused by having to scroll and select names on a terminal.
- Occurrence of incorrect clock-ins (clocking in under another person's name) due to the large number of staff.
- Management burden associated with correcting clock-in errors.
- Growing need for contactless clocking systems considering hygiene factors.

To resolve these issues, they decided to implement facial recognition clocking, which combines accuracy, efficiency, and hygiene.

< Specific Improvements and Effects >

1. Streamlined Clocking Operations
- Clocking in is completed simply by standing in front of the terminal, achieving contactless and fast operations.

2. Elimination of Clock-in Errors
- The approximately 10 incorrect clock-ins per month (due to name selection errors) have been reduced to zero.

3. Reduction in Administrative Workload
- The need to handle clock-in corrections has been eliminated, greatly reducing the burden on both on-site staff and HR managers.

< Comment from the Person in Charge at Bondish Inc. >

At our largest store with around 100 staff members, our conventional clocking method resulted in clock-in errors due to operational mistakes and an increased administrative workload. By implementing the contactless and accurate "iPad Facial Recognition Clocking," operations have become remarkably smooth—clocking is completed just by standing in front of the device—and it is highly rated by our on-site staff. Additionally, the correction of about 10 clock-in errors per month has become zero, leading to a reduced burden for both the site and the HR department.

■ About the AI Facial Recognition Engine FaceMe®
Using deep neural network AI technology, FaceMe® is a high-speed, highly accurate AI facial recognition engine capable of authenticating faces even from various angles. It supports a wide range of environments from IoT edge devices to the cloud, flexibly meeting diverse user demands. It operates with high performance not only on robust devices like industrial PCs and workstations but also on commercially available tablets and smartphones.

■ About Jobcan Attendance Management
"Jobcan Attendance Management" is equipped with all the functions necessary for attendance management operations. It is easy to set up and operate, leading to its adoption by many companies. With over 60,000 corporate users, it is the No. 1 service in the cloud-based attendance management system industry.

■ About CyberLink
Established in Taiwan in 1996, CyberLink is a global leader in multimedia software and AI facial recognition technology, providing a wide array of solutions including video and photo editing software, and facial recognition engines. The Japanese subsidiary, CyberLink Corp., was established in 1998. It develops and sells multimedia software for the Japanese market, where its media player "PowerDVD" and video editor "PowerDirector" are supported by numerous users. The company also aims to create new lifestyles by providing technologies specialized in security and personal authentication, such as the facial recognition system "FaceMe®".