0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Food & Water Human Health Effects Sign in to save

Mechatronic system to classify plastic and metal bottles using capacitive and inductive sensors

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering 2024 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Napoly Melo, Abigail Sanchez Gonzales, Ernesto Paiva-Peredo

Summary

This study designed a mechatronic system using capacitive and inductive sensors to classify plastic and metal bottles, developing an automated sorting approach that achieves high classification accuracy relevant to recycling operations.

The problem addressed in this article focuses on the management of plastic waste, which has experienced a significant increase in recent years, posing challenges in its management and recycling. In addition, the concentration of microplastics in water and their impact on health and the food chain is highlighted. The proposed solution consists of developing a mechatronic system for sorting plastic and metal bottles using capacitive and inductive sensors, respectively. The system demonstrated efficiency in tests, achieving 100% sorting for plastic and metal bottles. The need for bottles to be properly positioned for optimal performance was identified. This work highlights the importance of automation in mechatronic systems and the effectiveness of capacitive and inductive sensors in sorting materials.

Share this paper