INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
One of the biggest issues in emerging nations is the maintenance of roads, which includes potholes. However,
manually reviewing and assessing visual road data is a time consuming and expensive procedure. In addition, the results are highly influenced by the subjectivity and experience of the human raters. With the advance of science and technology and popularity of the deep learning model in the engineering field, sophisticated and low-cost systems with intelligence can be used to detect potholes instead of humans. Detection of a pothole is an important function of avoiding road accidents. Today, road pressures are hand-picked, requiring time and effort. In this system, we will be using advanced learning algorithms to find holes in real-time. Using an in-depth learning method we will create a CNN model, train it by providing a pothole dataset in it and then see if the citizen-provided image is valid and then PWD (Department of Public Works) can take the necessary steps in it.
"POTHOLE DETECTION AND COMPLAINT MANAGEMENT SYSTEM USING DEEP LEARNING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.f391-f395, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305565.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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