Year: 2025
Type: conference-paper
Abstract: The increasing volume of waste, particularly paper, plastics and metals, necessitates innovative technological solutions for efficient sorting and recycling. Conventional waste management systems rely on manual separation and inefficient processes, leading to resource loss and environmental pollution. This study explores the integration of advanced sensor technologies to enhance waste classification and optimize material recovery. Optical sensors, spectrophotometry, and hyperspectral imaging enable precise material identification based on optical properties, improving sorting accuracy and reducing contamination. Inductive and electromagnetic sensors enhance metal detection, while ultrasonic sensors facilitate material classification by density and structure. The implementation of these sensor-based automation systems significantly increases recycling efficiency, reduces landfill dependency, and promotes resource circularity. By leveraging advanced sensor technologies, this approach supports circular economy principles, minimizes environmental impact, and contributes to the development of smart and sustainable urban waste management systems.
DOI: 10.5937/pim25257k
Authors: Dijana Kocić, Nataša Tot, Marko Beljin
Institution: Technical College of Applied Sciences
Language: English
Subfield: Waste Management and Disposal
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4411575841