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Journals / Journal of Smart Systems Research / 2022 / Cilt: 3 - Sayı: 2

YOLO – Based Waste Detection

YOLO Tabanlı Atık Aytıştırma

Kenan ERİN
Bünyamin BİNGÖL
Barış BORU
Pages
120–127
Publication Date
2022-12-26
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this study, while determining the type of waste, the location of the waste will be determined in 3D with a depth camera and image processing techniques.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The management of recycling wastes is one of the most important issues because of the increasing production rates.
📊
Key Findings & Data:Automatic sorting systems are defined as systems that separate recyclable waste materials with robotic manipulators where human intervention is minimal.
💡
Conclusion & Impact:In this study, while determining the type of waste, the location of the waste will be determined in 3D with a depth camera and image processing techniques.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:YOLO · RealSense · Waste Recognition

Abstract

The management of recycling wastes is one of the most important issues because of the increasing production rates. The collecting and recycling of waste are also becoming more crucial for economic and environmental reasons because landfill space is becoming more and more limited. Automatic sorting systems are defined as systems that separate recyclable waste materials with robotic manipulators where human intervention is minimal. In this study, while determining the type of waste, the location of the waste will be determined in 3D with a depth camera and image processing techniques.

Özet

The management of recycling wastes is one of the most important issues because of the increasing production rates. The collecting and recycling of waste are also becoming more crucial for economic and environmental reasons because landfill space is becoming more and more limited. Automatic sorting systems are defined as systems that separate recyclable waste materials with robotic manipulators where human intervention is minimal. In this study, while determining the type of waste, the location of the waste will be determined in 3D with a depth camera and image processing techniques

🔖

Cite This Article

ERİN, K., BİNGÖL, B., BORU, B. (2022). YOLO – Based Waste Detection. Journal of Smart Systems Research, Cilt: 3 - Sayı: 2, 120–127. https://ajindex.com/articles/873646

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References (8)

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