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

In campus libraries, the conventional manual procedures for borrowing and returning books are inefficient, frequently resulting in problems such as data delays, missed registrations, and congestion.
To meet the requirements of intelligent school administration and automated book circulation, educational technology enterprises utilise SingTown's OpenMV intelligent camera recognition technology, incorporating AI machine vision and image recognition algorithms to develop a smart self-service book borrowing and returning system.
This system facilitates automated book recognition, intelligent stock control, and synchronised upload of loan and return data, substantially improving library operational efficiency and advancing the digital transformation of the campus.

Educational informatization 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 synchronization 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 informatization enterprises in establishing an efficient and intelligent campus book management ecosystem, enabling integrated operations of "self-service borrowing and intelligent inventory.