Journal Article10.1016/j.wasman.2021.10.016
An automatic sorting system for electronic components detached from waste printed circuit boards
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TL;DR: In this article , an emerging image detection algorithm, YOLO-V3, is utilized to train the self-made dataset and classify the printed circuit boards (PCBs) into specific categories.
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About: This article is published in Waste Management. The article was published on 01 Jan 2022. The article focuses on the topics: Electronic waste & Hazardous waste.
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Citations
Applications of convolutional neural networks for intelligent waste identification and recycling: A review
TL;DR: In this article , a review of CNN approaches and their applications in intelligent waste identification and recycling (IWIR) is presented, with insights into the three main tasks: classification, object detection, and segmentation.
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Recycling value materials from waste PCBs focus on electronic components: A review on technologies, obstruction and prospects
TL;DR: In this paper , integrated and systematic processes adopted for metallic recovering from waste electronic components (WECs) were critically reviewed and guidance for the development of clean and efficient recycling technology of WECs and mitigate various scientific and technological challenges for the e-waste recycling in the circular economy.
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E-waste management, treatment options and the impact of heavy metal extraction from e-waste on human health: Scenario in Vietnam and other countries.
TL;DR: In this article , some of the existing and developing technologies being employed for the recycling of e-waste have been reviewed, including pyrolysis, hydrometallurgy, bio-leaching, mechanical, and air classifier methods.
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Metals extraction processes from electronic waste: constraints and opportunities
Shovra Chandra Chakraborty,Md. Wahad Uz Zaman,Mozammel Hoque,M. Qamruzzaman,Jahid Uz Zaman,Delowar Hossain,Biplob Kumar Pramanik,Luong N. Nguyen,Long D. Nghiem,M. Mofijur,Md. Ibrahim H. Mondal,J. A. Sithi,Sharifi Shahriar,Md Abu Hasan Johir,Mohammad Boshir Ahmed +14 more
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References
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon,Santosh K. Divvala,Ross Girshick,Ali Farhadi +3 more
- 27 Jun 2016
TL;DR: Compared to state-of-the-art detection systems, YOLO makes more localization errors but is less likely to predict false positives on background, and outperforms other detection methods, including DPM and R-CNN, when generalizing from natural images to other domains like artwork.
Apple detection during different growth stages in orchards using the improved YOLO-V3 model
TL;DR: The test results show that the proposed YOLOV3-dense model is superior to the original YOLO-V3 model and the Faster R-CNN with VGG16 net model, which is the state-of-art fruit detection model.
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Recycling of WEEE: Characterization of spent printed circuit boards from mobile phones and computers
Luciana Harue Yamane,Viviane Tavares de Moraes,Denise Crocce Romano Espinosa,Jorge Alberto Soares Tenório +3 more
TL;DR: The results of this paper show that copper concentration is increasing in mobile phones and remaining constant in personal computers.
393
Assessment of Precious Metal Flows During Preprocessing of Waste Electrical and Electronic Equipment
TL;DR: In this article, substance flow analysis (SFA) on a process level can be used for a holistic approach, covering technical improvement at process scale, optimization of product life cycles, and contributing to knowledge on economywide material cycles.
376
Environmental impact and human exposure to PCBs in Guiyu, an electronic waste recycling site in China.
TL;DR: It is indicated that commercial PCBs derived from e-waste recycling are major sources of PCBs accumulating in different environmental media, leading to the accumulation of high chlorinated biphenyls in human beings.
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