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Github在校園圖書館內,傳統的手動借還書方式效率低下,常導致數據滯後、登記遺漏及人流擁塞等問題。
To meet the needs of intelligent school management and unattended book circulation, educational informatization 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 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 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.

AI Sentinel Based on OpenMV: Automatic Alert for Unattended Key Locations
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Personnel crossing boundary triggers an alarm; OpenMV interprets the “sense of security boundary”
Detecting personnel or equipment crossing virtual perimeter lines.

“AI Urban Management Officer” is Here: An Automated Street Vending Detection System Built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Improper placement of gas cylinders? Use OpenMV to automatically trigger hazard alerts
Automatically identifies non-compliant placement positions of gas cylinders to proactively detect potential gas safety hazards.

Did you perform live-line work without wearing insulating gloves? OpenMV will immediately issue an alert!
Automatically identifies whether workers are wearing insulating gloves to assist in safe operations.

Utilising the OpenMV smart camera to identify surface defects on aluminium plates in real time
Online identification of defects on aluminium plate surfaces, such as scratches and dents, to support quality control.