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Published in:
2023 | OriginalPaper | Chapter
Web-Based Trash Segregation Using Deep Learning Algorithm
Authors : S. Sheeba, Akshay Mohan, Ashish Kumar Jha, Bikash Agarwal, Priya Singh
Published in: ICDSMLA 2021
Publisher: Springer Nature Singapore
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Abstract
This study proposes to classify waste as recyclable and helps them to improve the sorting process of compact waste collected from the public. The proposed system is an advance hybrid multi-layered deep learning system which uses an algorithm of CNN for capturing the image of waste and sorting the compact waste which can be further recyclable to a useful product. It reduces the man efforts and helps the mankind to automate the system of garbage separation. This projected system is using the CNN model which is trained and assessed by niche technology to collect and sort the waste. It is proven that the speed of detection the waste is above 90%, which is quit precision relying on image only inputs.