Résumé:
We have developed a prototype of an intelligent shelving system designed to optimize storage
management for businesses and organizations. The system consists of multiple closed shelves
that maximize space utilization. To locate specific items, we created a supervisor screen using
Unity software, connected to an SQLite database. By simply entering the item name, the
corresponding shelf automatically opens, and the supervisor screen displays its position
among the six positions in each shelf. The system utilizes Unity for real-time visualization of
shelf movements and employs Arduino with Nema 17 steppers and A4988 drivers for control.
Our project overcomes challenges such as selecting an appropriate database. The intelligent
shelving system significantly improves efficiency by directly targeting and locating items,
resulting in optimized space utilization and reduced search and inventory management time.