UOsaka - Kinokuniya Bookstore Co., Ltd.

In 2024, UOsaka will build an integrated ID platform called the "OUID System" that assumes lifelong ID utilization before enrollment, after graduation, and after retirement, in addition to approximately 30,000 enrolled students, faculty and staff. As the first application using OUID, it established a facial recognition admission management system in April 2024, and are gradually expanding buildings and conference rooms that can enter and exit buildings using facial recognition.

Kinokuniya Bookstore is pleased to announce that all four UOsaka libraries (General Library, Life Science Library, Science and Engineering Library, and Foreign Studies Library) have newly installed seven entrance gates and six automatic check-out and return devices in conjunction with Panasonic Connect's facial recognition technology, which boasts the world’s highest level of authentication accuracy^*1.

In addition, by installing a QR reader that supports QR codes displayed on UOsaka's digital student ID and faculty ID cards, which began offering in January 2025, we have taken into account the needs of diverse users and expanded the use of digital student ID cards and faculty ID cards.

By linking various systems with OUID, UOsaka will create a comfortable campus life for approximately 30,000 students, faculty, and staff, and promote the efficiency of libraries and other operations, labor saving, and service improvements

This time, the "OU Human Resources Data Platform" is a platform that connects human resource data related to the UOsaka community (examinees, current students, alumni, faculty, staff, etc.) with a unique lifetime ID, OUID, and centrally manages, analyzes, and utilizes it under strict security management by linking it with the world's highest level of authentication accuracy face recognition technology, we will realize admission to the library and borrowing books using face recognition. Perform face recognition based on the face photos and attribute information of students, faculty and staff registered in the "OU Human Resources Data Platform" and enter the library. It works with management systems and automatic loan and return equipment. This greatly improves the convenience of users, such as being able to enter the library and borrow books without the hassle of taking out their student ID cards or library cards. In addition to face recognition, we also support QR codes displayed on digital student ID cards and faculty ID cards linked to OUID.

In addition, the University Library will be relieved of the burden of issuing and managing user cards, and will be able to effectively allocate human resources to the development of new library services, such as open access to academic papers, and realize library DX that creates added value for both users and administrators