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