Modern Approaches to E-Waste Recycling and Recovery in Mandya

Abstract - Today, developments in technology have changed everyone's lifestyle. Although this innovation is beneficial, it creates serious effects on human health and environmental health. One of the main reasons for this is "E-waste" from electronic products. The use of electronic products worldwide has increased the amount of "E-waste" or electronic waste, which has now become a serious problem. Improper disposal of e-waste has now become an environmental and public health problem in the world's cities. Therefore, correct classification and management of e-waste requires the recovery of important information about e-waste. This growing e-waste is inherently hard and rich in metals such as neodymium, indium, palladium, tantalum, platinum, gold, silver, lead and copper, which can be recovered and brought back into the cycle of production and daily use. In this project, a deep learning model is used to identify e-waste using image processing. The design model, on the other hand, selects the waste with good accuracy and takes less time. Wastes are divided into two groups according to the amount or value in the waste. By using this model effectively, we can solve e-waste management problems, improve recycling and contribute to environmental sustainability. Key Words: E-waste management, Electronic waste recycling, Sustainable waste management, Mandya e-waste recycling, Waste reduction and recovery, E-waste collection and segregation, Advanced recycling technologies

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-10
DOI
https://doi.org/10.55041/ijsrem47432
Primary Topic
Recycling and Waste Management Techniques
Type
article
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article

Modern Approaches to E-Waste Recycling and Recovery in Mandya

M. Rajesh
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Recycling and Waste Management Techniques
article

Modern Approaches to E-Waste Recycling and Recovery in Mandya

M. Rajesh
article en

Abstract

Abstract - Today, developments in technology have changed everyone's lifestyle. Although this innovation is beneficial, it creates serious effects on human health and environmental health. One of the main reasons for this is "E-waste" from electronic products. The use of electronic products worldwide has increased the amount of "E-waste" or electronic waste, which has now become a serious problem. Improper disposal of e-waste has now become an environmental and public health problem in the world's cities. Therefore, correct classification and management of e-waste requires the recovery of important information about e-waste. This growing e-waste is inherently hard and rich in metals such as neodymium, indium, palladium, tantalum, platinum, gold, silver, lead and copper, which can be recovered and brought back into the cycle of production and daily use. In this project, a deep learning model is used to identify e-waste using image processing. The design model, on the other hand, selects the waste with good accuracy and takes less time. Wastes are divided into two groups according to the amount or value in the waste. By using this model effectively, we can solve e-waste management problems, improve recycling and contribute to environmental sustainability. Key Words: E-waste management, Electronic waste recycling, Sustainable waste management, Mandya e-waste recycling, Waste reduction and recovery, E-waste collection and segregation, Advanced recycling technologies

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 88%
Recycling and Waste Management Techniques
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