Publication Date: 2024/03/26
Abstract: The United Nations (UN) has numerous goals outlined in its charter and subsequent resolutions. One of which is addressing environmental challenges such as climate change, biodiversity loss, and pollution. As a response to this call, Centro Escolar University(CEU) lodged the KALINGA program. Part of this program is to study ways the community could improve waste management. This study is a concerted effort to promote sustainable development practices, mitigate the impacts of climate change, protect ecosystems, and promote renewable energy. This developed prototype recognizes and classifies non-biodegradable and biodegradable materials with a 96% accuracy rate. The user-friendly system uses an ultrasonic sensor and image processing.
Keywords: Automatic WasteSegregation, Convolutional Neural Network, Waste Classification, Usability, Efficiency, Portability, Application, Accuracy.
DOI: https://doi.org/10.38124/ijisrt/IJISRT24MAR794
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24MAR794.pdf
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