Modern Approaches to E-Waste Recycling and Recovery in Mandya
Rajesh M C1 , Thanuja K2, Anusha B N3, Chaithanya4, Harshitha H U5 ,Meghana H M6
1Assistant Professor, Dept. of Electrical and Electronics Engineering, G Madegowda Institute of Technology
2Assistant Professor, Dept. of Electrical and Electronics Engineering, G Madegowda Institute of Technology
3Student, Dept. of Electrical and Electronics Engineering, G Madegowda Institute of Technology
4Student, Dept. of Electrical and Electronics Engineering, G Madegowda Institute of Technology
5Student, Dept. of Electrical and Electronics Engineering, G Madegowda Institute of Technology
6Student, Dept. of Electrical and Electronics Engineering, G Madegowda Institute of Technology
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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
