Books cannot be borrowed or returned automatically due to reflection or wear? SingTown Technology makes borrowing smarter!

In campus libraries, the conventional manual methods for borrowing and returning books are inefficient, frequently resulting in problems such as data delays, missed registrations, and congestion.
To meet the needs of intelligent school management and unattended book circulation, educational informatisation enterprises adopt SingTown's OpenMV intelligent camera recognition technology, integrating AI machine vision and image recognition algorithms to create an intelligent self-service book borrowing and returning system.
This system enables automatic book identification, intelligent inventory management, and synchronised borrowing and returning data upload, significantly enhancing library management efficiency and promoting campus digital transformation.

Educational informatisation enterprises utilise SingTown's OpenMV intelligent camera recognition technology to achieve self-service book borrowing and returning as well as automated inventory management.

The solution integrates an intelligent vision module into the self-service borrowing and returning terminals. When students place books in the recognition area, the camera captures images in real time and utilises computer vision and image recognition technologies to automatically detect the book's cover features, barcode, or ISBN code.

The system utilises image segmentation, OCR text recognition, and template matching algorithms to swiftly identify books. It then compares the recognition results with the book database to complete the registration for borrowing or returning.

On-device AI algorithms can adapt to various lighting conditions and intelligently correct issues such as reflections, cover colour differences, and blurred QR codes.

Upon completion of identification, the OpenMV module uploads the data to the library management system via the network interface, enabling automatic registration, inventory updates, and synchronisation of user borrowing status.

The system also supports simultaneous recognition and automatic inventory of multiple books, applicable to various scenarios such as library self-service areas and shared book corners in teaching buildings.

Through this embedded vision solution, SingTown's machine vision recognition technology assists educational informatisation enterprises in establishing an efficient and intelligent campus book management ecosystem, enabling integrated operations of "self-service borrowing and intelligent inventory.