Design and Development of a Semi-Automated Kitchen Waste Composter

• Main Authors: Adique, Moshe Coleen N., Mandap, Aaron Jimson L., Guico, Ma. Leonora, Galicia, Jan Kevin A
• Format: text
• Published: Archīum Ateneo 2023
• Subjects: aerobic composting; image processing; semi-automated Composter; Electrical and Computer Engineering; Engineering
• Online Access: https://archium.ateneo.edu/ecce-faculty-pubs/146; https://doi.org/10.1109/ICCCE58854.2023.10246029
• Institution: Ateneo De Manila University

Waste generation is a significant challenge exacerbated by factors such as population growth, industrialization, and urbanization, particularly in densely populated areas like Metro Manila. Consequently, effective waste management becomes increasingly crucial. This study focused on the development of a waste management device designed to address waste generation at its source, specifically targeting the residential sector. The researchers have created a semi-automated kitchen waste composter to facilitate the conversion of kitchen waste into valuable fertilizers, even for individuals with limited composting knowledge. The system incorporates a sensor network that monitors key parameters of the composting process, including temperature and moisture levels. An actuator network ensures that these parameters remain within optimal ranges. Additionally, an image processing algorithm has been implemented to detect compost maturity. By implementing this waste management device, households in urban areas can actively contribute to waste reduction efforts. It empowers individuals to participate in composting without requiring extensive expertise. This technology represents a promising solution to mitigate waste generation and promote sustainable practices in residential settings, ultimately contributing to a cleaner and more environmentally friendly urban environment.