Comparison of different computer vision approaches for e-waste components detection to automate e-waste disassembly
AM Bassiouny, AS Farhan, SA Maged… - 2021 International …, 2021 - ieeexplore.ieee.org
Electronic Waste (E-waste) is generated in a tremendous amount due to our increasing
dependence on electronic devices and rapid upgrading in technological innovations …
dependence on electronic devices and rapid upgrading in technological innovations …
An approach for smart and cost-efficient automated E-Waste recycling for small to medium-sized devices using multi-sensors
N Abou Baker, U Handmann - 2022 IEEE Sensors, 2022 - ieeexplore.ieee.org
Recycling electrical and electronic devices in an automated method can reduce the negative
impact on human health and the environment compared with manual dismantling. This …
impact on human health and the environment compared with manual dismantling. This …
Real time electronic-waste classification algorithms using the computer vision based on convolutional neural network (cnn): Enhanced environmental incentives
An innovative approach is needed to boost the economic value of e-waste by improving
metal recovery and facilitating the separation of plastics and valuable metal components …
metal recovery and facilitating the separation of plastics and valuable metal components …
Dry waste segregation using seamless integration of deep learning and industrial machine vision
H Kapadia, A Patel, J Patel, S Patidar… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Municipal solid waste management has been one of the most critical issues of urban cities
today. Increasing population, constructions, industries, etc. are the major factors creating a …
today. Increasing population, constructions, industries, etc. are the major factors creating a …
An automatic sorting system for electronic components detached from waste printed circuit boards
Y Lu, B Yang, Y Gao, Z Xu - Waste Management, 2022 - Elsevier
Recycling e-waste makes for eliminating the pollution to environment and recovering critical
materials as one of resource. Printed circuit boards (PCBs) serve as the important part in all …
materials as one of resource. Printed circuit boards (PCBs) serve as the important part in all …
E-Waste Management through Deep Learning: A Sequential Neural Network Approach
The goal of this research is to improve the management of electronic trash (e-waste) by
using a Sequential Neural Network (SNN) with TensorFlow and Keras as part of an …
using a Sequential Neural Network (SNN) with TensorFlow and Keras as part of an …
[PDF][PDF] Detection of waste materials using deep learning and image processing
A Mitra - 2020 - scholarworks.calstate.edu
The process of segregating waste prompts the generation of energy out of waste,
diminishing landfills, recycling, and reduction of waste. Erroneous disposal of waste leads to …
diminishing landfills, recycling, and reduction of waste. Erroneous disposal of waste leads to …
A waste management technique to detect and separate non-biodegradable waste using machine learning and YOLO algorithm
A Aishwarya, P Wadhwa, O Owais… - … Conference on Cloud …, 2021 - ieeexplore.ieee.org
This research Paper proposes an application of Image Processing that works on the
principle of machine learning and YOLO (You Only Look Once) algorithm was used to detect …
principle of machine learning and YOLO (You Only Look Once) algorithm was used to detect …
Machine learning for the classification and separation of e-waste
EP Zhou - 2022 IEEE MIT Undergraduate Research …, 2022 - ieeexplore.ieee.org
The amount of global e-waste is growing at a rapid rate and is projected to increase to 74.7
Mt by 2030. However, according to a recent United Nation's study in 2019, the collection and …
Mt by 2030. However, according to a recent United Nation's study in 2019, the collection and …
A vision based approach to localize waste objects and geometric features exaction for robotic manipulation
R Aarthi, G Rishma - Procedia Computer Science, 2023 - Elsevier
The quantity of waste generated is increasing daily, demanding an intelligent waste
management system for effective and timely solutions. Pollution induced by garbage has …
management system for effective and timely solutions. Pollution induced by garbage has …