Design of a book misplacement detection system based on image recognition

With increasing library visits, book misplacement has become a significant issue, affecting over 5% of books globally and burdening library staff. To address this, we developed a system using YOLOv8 with an enhanced CBAM (Convolutional Block Attention Module) for spine segmentation. The HSV (Hue, Saturation, Value) algorithm segments the book label area, and Optical Character Recognition (OCR) is used to extract call numbers. Book misplacement is detected using ASCII codes, and results are presented to library staff. Experimental results show that this approach significantly improves book spine recognition accuracy compared to traditional methods and better meets users' needs.