Automate Book Inventory using AI

This project automatically extract the book details and prepare book inventory data for a library management system without the need of manually typing each of these details. Additionally, this system can categorize books by genre or subject matter without any human intervention. Since it is an automated system, it can process a larger number of entries over time, enhancing efficiency and accuracy in inventory management. The extracted information can then be used for various purposes like cataloging, inventory management, and digital archiving. How the System Works? 1. Library staff present books to a camera-equipped device (e.g., smartphone or tablet) at the inventory check-in point. The device captures an image of each book cover or spine. 2. The image is processed using the Florence-2 vision foundation model. This advanced AI model accurately detects and extracts text from the book cover or spine. 3. The extracted text is then sent to the Falcon model, which analyzes the text to precisely identify and structure the information (i.e. book title, author names, ISBN, and other relevant information such as descriptions or genres) in JSON format. 4. This information can then be integrated into the library's digital inventory without any human intervention, allowing for efficient and scalable inventory management over time.