Deep Learning based Image Recognition for Separation of Recycling Waste

Yıl 2024, Cilt: 2 Sayı: 1, 25 - 28, 30.06.2024

Mehmet Bahadır Çetinkaya Nihat Akdamar Meriç Anıl Alkan Hazal Bölükbaşı

Öz

Recycling waste sorting with high accuracy has become a significant area of research in recent years due to its direct effect on environment and economy. Computer-aided approaches are able to provide effective performances in recycling processes which consist of big data sizes. In this work, a deep learning (DL) based image analysis approach has been improved by using Python programming language and the YOLOv8x DL algorithm to optimize the recycling processes. From the simulation results, it can be concluded that DL-based approaches are able to provide high accuracy in image recognition and can successfully be used in processing of big data sets.

Anahtar Kelimeler

Deep learning, Image clustering, Recycling waste sorting, YOLOv8x

Destekleyen Kurum

This work has been supported by Scientific and Technological Research Council of Turkey (TUBITAK) under TUBITAK-2209 A Program

Proje Numarası

Application number: 1919B012200459

Kaynakça

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