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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) |
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Issue: May 2024
Volume 9 | Issue 5
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| Paper Title: | Damaged Car Detection Using Multiple Convolutional Neural Network |
| Authors Name: | Gopikrishnan M , Padmanabapushkaran K , Vasanth S , Rakesh R |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_194934
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| Published Paper Id: | IJNRD2305334 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Computer vision and machine learning are both used in the investigation of visual image classification. Assigning an object to a category, or group of categories, that it belongs to, is the work of visually categorizing an object. A two-layered system is typically used to conduct visual classification tasks. It consists of a first layer using an off-the-shelf feature extractor and detector and a second classifier layer. Convolutional neural networks have been demonstrated to surpass such hitherto employed algorithms in recent years. The ability to automatically categorize automotive damage is very desirable, especially for the auto insurance sector, given the importance of cars in today's society. Automobile inspections are a common occurrence for auto insurance providers. Such inspections are labor-intensive, manual, and occasionally flawed processes. processes that expense and annoy customers and insurance firms equally. Even while complete automation of such manual inspection procedures may still be some time off, modern technology may make it feasible to create systems that facilitate, expedite, or improve the process. |
| Keywords: | Machine Learning, Data Science, car damage, CNN |
| Cite Article: | "Damaged Car Detection Using Multiple Convolutional Neural Network", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d241-d246, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305334.pdf |
| Downloads: | 000118749 |
| 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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Published Paper ID:IJNRD2305334 Registration ID: 194934 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: d241-d246 Country: Chennai, Tamil Nadu, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305334 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305334 |
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ISSN: 2456-4184
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