Academic Resources Recommender System (ARReS)
Theses and Dissertations

The Academic Resources Recommender System (ARReS) includes collection of Theses and Dissertations available in the Camarines Sur Polytechnic Colleges Library.

Intelligent Waste Management Trash Bin Using Convolutional Neural Networks Algorithm
Author: Jonalyn L. Bugnot; Kim Clarice Garcia; Jude Romar B. Cerdeño; Maria Jessica T. Sayin
2022 Computer Science

Classification of waste is one common problem in waste management, waste can bring a huge impact in everyday living causing pollution and some other infectious diseases. The traditional way of sorting waste manually takes much time and brings negative effect as it is already contaminated. Generally, this study was conducted to develop a prototype that will classify waste classification through image processing using Convolutional Neural Network. Accuracy Matrix is used to determine the efficiency of the system to classify waste. This study used Kanban Agile Software Development Model in developing the study allowing the researchers to monitor the time frame of work piece. The purpose of this study is to lessen the burden of traditional way of manually classifying waste. The datasets utilized in this study is collected in the reliable internet source. Accuracy Matrix was to evaluate the performance of the algorithm, the model has achieved 98% accuracy. Therefore, the developed prototype shows how effective Convolutional Neural Network is in image processing.


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