Article Fingerprint
ReserarchID
6C9SC
Following the recent ban of plastic waste import by China, many developed countries face challenges with their huge amount of plastic waste. Some of the countries have diverted their waste to other developing East-Asia countries like Philippines, Vietnam and Malaysia. However, Malaysian government has taken strict action to send back over 3000 tons of plastic waste to its origin citing contamination. The aim of this paper is to establish mechanisms to detect the status of post-consumer PET bottles for recycling. By encouraging recycling of clean pet bottles, we ensure high quality bottles for recycling. A research based as well as experimental design approach was adopted to develop mechanisms to detect PET bottle status. During the experiment, various PET bottles were collected and images captured. A total of 1749 images were captured using raspberry Pi camera.
Hellen Wanini Mwangi. 2019. \u201cUsing Deep Learning to Detect Polyethylene Terephthalate (PET) Bottle Status for Recycling\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 19 (GJCST Volume 19 Issue G4): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
Total Score: 147
Country: Japan
Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary
Authors: Hellen Wanini Mwangi, Mpai Mokoena (PhD/Dr. count: 0)
View Count (all-time): 254
Total Views (Real + Logic): 4995
Total Downloads (simulated): 1253
Publish Date: 2019 11, Mon
Monthly Totals (Real + Logic):
This paper attempted to assess the attitudes of students in
Advances in technology have created the potential for a new
Inclusion has become a priority on the global educational agenda,
Following the recent ban of plastic waste import by China, many developed countries face challenges with their huge amount of plastic waste. Some of the countries have diverted their waste to other developing East-Asia countries like Philippines, Vietnam and Malaysia. However, Malaysian government has taken strict action to send back over 3000 tons of plastic waste to its origin citing contamination. The aim of this paper is to establish mechanisms to detect the status of post-consumer PET bottles for recycling. By encouraging recycling of clean pet bottles, we ensure high quality bottles for recycling. A research based as well as experimental design approach was adopted to develop mechanisms to detect PET bottle status. During the experiment, various PET bottles were collected and images captured. A total of 1749 images were captured using raspberry Pi camera.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.