Oct 2026· Indian Journal of Computer Science and Technology· Vol 5, pp. 522· 0 citations
Abstract
Mixed wet, dry and metal waste is hard to recycle, manual sorting is slow and unhygienic, and bins often overflow because their fill level is not monitored. This paper proposes the Intelligent Waste Separator, a low-cost IoT-based system that automatically separates waste into wet, dry and metal bins and monitors the fill level of each bin. A moisture sensor and a metal sensor read the waste, and an ESP32 microcontroller applies threshold logic and drives a servo or DC geared motor that drops the waste into the correct bin. Ultrasonic sensors track the fill level of each bin, and the ESP32 sends the waste category, fill level, status and time through Wi-Fi and an API to a database. A web dashboard built with HTML, CSS and JavaScript shows the bin status so that bins can be emptied on time. The system is organized into five modules: waste detection and separation, ESP32 programming and monitoring, IoT communication, database management, and testing and validation. This paper presents the architecture, methodology and planned evaluation of the system; the system is at the design stage, and no experimental results are claimed.
Managing waste efficiently requires more than simply providing additional disposal containers [1]. Waste is often mixed at the point of disposal, and bins may remain unchecked until they become full [3]. This research work presents a Smart Dustbin with IoT and Hierarchical Waste Segregation that combines waste classifi...
H. Harshavardhan, Daneshwari Subhas Jammaladinni, H. D. Meghana et al.· 2026 International Conferenc...· 0 citations
— With increasing urbanization and consumerism, the global Municipal Solid Waste (MSW) generation has skyrocketed. The ever-growing MSW collection, transportation and disposal infrastructure is insufficient and is overwhelmed by the volume of waste generated. Manual segregation of wet and dry MSW is a cumbersome proces...
K. S. Gadgil, Nishad S. Hiwrekar, Ashray D. Kamble et al.· International Journal of Dru...· 0 citations
The waste management system at the STMIK Kaputama campus is currently still conventional, where the academic community frequently disposes of waste without separating organic and inorganic types. This triggers accumulation, unpleasant odors, and complicates the recycling process. Furthermore, janitorial staff must insp...
Angga Yunandar, Husnul Khair, I. G. Prahmana· Journal of Artificial Intell...· 0 citations
Waste management is a critical issue that requares innovative solutions, particulary in the sorting of waste at its source. This study present the design and development of an automatic waste sorting device based on the ESP32 microcontroller, capable of distinguishing between metalic and non-metallic (plastic) waste. T...
M. Alfillah, Yussa Ananda· Algebra : Jurnal Pendidikan,...· 0 citations
Waste management still faces limitations in efficiency and consistency in manual sorting. Hence, a computer vision-based smart waste-sorting system integrated with mechanical actuation is required. This study applies YOLOv11 for object detection and waste classification in a smart waste-sorting system integrated with a...
Inefficient solid waste management frequently leads to environmental and public health concerns, particularly when collection delays result in overflowing bins. This study presents the design and implementation of an Internet of Things (IoT) Automated Smart Waste Bin system, integrating HC-SR04 ultrasonic sensors and a...
M. Tombeng· TeIKa· 0 citations
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