Improvement proposal to automate the process of sorting materials in the recycling sector using the Internet of Things (IoT) (#974)

Authors

Auccapiña Castillo, Yamila

Montes-Gallo, Luciana

Velásquez Costa, José

Abstract

Advances in manufacturing have driven the development of automated systems that improve efficiency in industrial processes such as recycling. In this context, the implementation of automation and sensor technologies in recycling plants is essential for the accurate classification of recyclable materials. Capacitive and inductive sensors allow metals and other non-metallic materials to be detected, optimizing waste segregation, which reduces operating costs and improves workplace safety by reducing manual intervention. A key aspect of this modernization is the integration of the Internet of Things (IoT), which transforms the monitoring and control of these systems. Through IoT platforms such as Blynk, it is possible to view data such as the weight and quantity of recycled materials in real time, improving supervision and facilitating quick decisions. The scalability of the system allows efficient recycling management in the face of increasing demands. Key indicators include a reduction in cycle time by 58.3%, a decrease in the error rate between 15-20%, and a classification efficiency of 94.7%. In addition, productivity increased by 73.16%, allowing the classification of 32 pieces per minute, compared to 18.48 for the manual method, and processing capacity grew by 50.8%, reaching 60 kg/hour. Together, automation and IoT offer a comprehensive solution to recycling challenges, improving sustainability and reducing the environmental impact of industrial processes, while optimizing resources.