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All Journal JTERA (Jurnal Teknologi Rekayasa) JURIKOM (Jurnal Riset Komputer) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Edsence: Jurnal Pendidikan Multimedia JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Green Intelligent Systems and Applications
Sofy Fitriani
Politeknik Negeri Bandung
Religion Agriculture, Biological Sciences & Forestry Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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A Systematic Literature Review of YOLO and IoT Applications in Smart Waste Management Gelar, Trisna; Fitriani, Sofy; Rachmat, Setiadi
Green Intelligent Systems and Applications Volume 5 - Issue 2 - 2025
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v5i2.706

Abstract

The increase in urbanization and global population expansion resulted in increased garbage production, causing considerable environmental and public health issues that exceeded traditional waste management approaches. To tackle these challenges, automated waste detection and analysis integrated computer vision, especially deep learning, with the Internet of Things (IoT) in intelligent waste management applications. This comprehensive literature review investigated a wide range of You Only Look Once (YOLO) applications in IoT-based waste detection and management, demonstrating its efficacy in addressing global waste issues. Employing specific keywords and Boolean operators, the review followed a rigorous methodology to explore reputable electronic databases for peer-reviewed articles published from 2019 to 2025. The primary findings indicated that different iterations of YOLO (v3 to v12) were integrated with diverse IoT devices and computing setups, including edge and centralized systems. These integrations facilitated four crucial applications: hazardous waste management, monitoring of smart bins, classification of waste types, and detection of litter in public spaces. This integration enhanced sustainability through improved waste management practices, increased efficiency in waste processes, and reduced manual labor requirements. Challenges included precise waste identification in complex scenarios, adaptation to fluctuating environmental conditions, and ensuring dependable, low-power operation of IoT devices. To sum up, the integration of YOLO and IoT established a robust basis for intelligent waste management, transforming reactive approaches into proactive strategies. Moving forward, research should prioritize enhancing the integration and power management of IoT sensors, optimizing edge deployment, and developing more resilient YOLO models.
Co-Authors Bakhrun, Akhmad Beri Noviansyah Eddy Bambang Soewono Firas Atqiya Gelar, Trisna Hashri Hayati Iwan Awaludin Maisevli Harika Maisevli Harika Muhammad Ihsan Muhammad Rizqi Sholahuddin Nurdin, Muhamad Irfan Nurdin, Muhamamd Irfan Rachmat, Setiadi Santosa, Yoseph Setiadi Rachmat Siti Dwi Setiarini Siti Dwi Setiarini Siti Dwi Setiarini Wulan, Sri Ratna Yusuf Sofyan Yusuf Sofyan Yusuf Sofyan Yusuf Sofyan, Jurusan Teknik Elektro Politeknik Negeri Bandung, Parno Raharjo, Tria Maariz, Jurusan