Journal of Environmental Waste Management and Recycling

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Commentary - Journal of Environmental Waste Management and Recycling (2025) Volume 8, Issue 3

Sensor-Based Waste Sorting: Revolutionizing Modern Waste Management

Can Ongen*

Dokuz Eylül University, Department of Mechanical Engineering, Turkey

*Corresponding Author:
Can Ongen
Dokuz Eylül University, Department of Environmental Engineering, Turkey
E-mail: ongen.can@deu.edu.tr

Received: : 03-May-2025, Manuscript No. AAEWMR- 25- 165796; Editor assigned: 05-May-2025, PreQC No. AAEWMR- 25-165796 (PQ); Reviewed: 11-May-2025, QC No. AAEWMR- 25-165796; Revised:25-May-2025, Manuscript No. AAEWMR- 25-165796 (R); Published: 31-May-2025, DOI:10.35841/10.35841/aaewmr-8.2.269

Citation: Citation: Ongen. C. Sensor-Based Waste Sorting: Revolutionizing Modern Waste Management. 2025; 8(3):269

Abstract

  

Introduction

As global waste volumes rise due to urbanization, population growth, and increasing consumerism, the need for efficient and sustainable waste management systems has become more pressing than ever. Traditional manual sorting methods are labor-intensive, prone to error, and often inefficient. In response to these challenges, sensor-based waste sorting technologies have emerged as a game-changing innovation. By automating the identification and separation of recyclable materials, sensor-based systems significantly improve sorting accuracy, reduce labor costs, and enhance the overall efficiency of recycling operations.. [

Sensor-based waste sorting refers to the use of advanced sensors and automated machinery to identify, categorize, and separate different types of waste materials. These systems are typically integrated into material recovery facilities (MRFs) or waste processing plants and use a variety of sensor types, often in combination, to detect the composition, colour, shape, or density of waste items on a conveyor belt. These detect the chemical composition of materials based on how they reflect light in the near-infrared spectrum. NIR is especially effective for identifying different types of plastics. XRT can penetrate objects and detect differences in atomic density, making it ideal for sorting metals, minerals, and certain electronic waste. High-resolution cameras identify materials based on colour, shape, and size. Optical systems are often combined with NIR sensors for more accurate sorting. These detect metallic objects by identifying their conductive properties, useful for separating ferrous and non-ferrous metals. Used to measure material thickness and texture, helping to differentiate between similar-looking items. A more advanced method used to analyse the elemental composition of materials in real-time.[

Waste items are transported on a conveyor belt under a series of sensors. As materials pass through, the sensors analyse their properties in real time. Once an item is identified, a mechanical actuator, such as an air jet or robotic arm, is triggered to separate it into the appropriate stream—plastics, metals, paper, or residual waste. This rapid and accurate sorting dramatically increases recycling efficiency and reduces contamination. [8].

Improves sorting precision, which enhances the quality and value of recycled materials. Processes large volumes of waste quickly, reducing bottlenecks in recycling operations Automates a process that traditionally required significant human labor. Minimizes the need for workers to handle potentially hazardous materials. Capable of sorting a wide range of materials and adapting to different waste streams. The cost of advanced machinery and installation can be prohibitive for smaller facilities. Sensors must be regularly calibrated and maintained to ensure accuracy.S ome materials have similar properties, making them difficult to distinguish without multiple sensors. [9, 10].

conclusion

Sensor-based waste sorting represents a significant advancement in the field of sustainable waste management. By combining precision, speed, and automation, it addresses many of the limitations of traditional sorting methods. As technology continues to evolve and become more accessible, sensor-based systems are likely to become a standard component of modern recycling infrastructure. Investing in such technologies not only improves recycling rates but also moves us closer to a more circular and resource-efficient economy.

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