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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 7

Issue Published : 74

Article Submitted : 3608

Article Published : 2079

Total Authors : 5515

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Total Countries : 39

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Paper Title: Assessment of Waste Management Through Mobile Edge Computing And Deep Learning
Authors Name: Aryan , Aryan Raj Rout , Aditya A Kamat , Manjula S
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IJRTI_182480
Published Paper Id: IJRTI2206132
Published In: Volume 7 Issue 6, June-2022
DOI:
Abstract: Due to the random occurrences of street waste, municipality corporation usually put a lot of effort and money in keeping the streets trash free, which is the main goal with computer system, with applications ranging in the development of smart city. Deep network solutions are frequently constrained by the amount of training data available as they become deeper and more complicated. With this in mind, Open CV or Google AI has made the Open Images dataset publicly available in order to drive breakthroughs in image analysis and interpretation. Open Images continues the legacy of PASCAL VOC, Image Net, and COCO, but on a much larger scale. As a result, visual street cleanliness assessment will be extremely vital in this project. Existing assessment methods, on the other hand, have several significant drawbacks, such as the lack of automation in the collecting of street waste data and the lack of real-time street cleanliness data. Finally, the findings are fed into a framework for calculating street cleanliness, which allows for the visualization of street cleanliness.
Keywords: Waste management, R CNN, edge computing, multilayer assessment, latency
Cite Article: "Assessment of Waste Management Through Mobile Edge Computing And Deep Learning ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.791 - 795, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206132.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2206132
Registration ID:182480
Published In: Volume 7 Issue 6, June-2022
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Page No: 791 - 795
Country: Bengaluru, Karnataka, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206132
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206132
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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