Year: 2025
Type: dissertation
Abstract: LEGO has long been a beloved pastime for individuals of all ages, fostering creativity and innovation. However, the rising costs of LEGO sets in recent years have created barriers for casual enthusiasts and families, transforming LEGO from an accessible hobby into a luxury item. This project addresses the challenge of affordability and sustainability by enabling families and LEGO enthusiasts to repurpose their existing collections to recreate modern LEGO sets. By using the YOLOv11 model for LEGO piece detection, a practical tool has been developed to identify and catalog LEGO pieces. This system empowers users to assess their current inventory and determine new buildable LEGO sets. By bridging the gap between old and new, the project aims to make LEGO play more sustainable, cost-effective, and accessible for all.
Author: Bonferroni, Rodrigo
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7112522126