Scratch Detection in Cars Using Mask Region Convolution Neural Networks Article Swipe
K. Vijay
,
R. Vijayakumar
,
P. Sivaranjani
,
R. Logeshwari
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3233/apc200205
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3233/apc200205
This task depends on quality control in the vehicle business. It centers on the imprint and harms in new cars before producing to the client. This project presents the development of a system of recognition of defects and cosmetic imperfections in cars. This application gives a quick and strong robotized results. It likewise gives framework acknowledgement of scratches. In the as of now existing framework, the way toward distinguishing the scratches in car is finished by our mankind. Using the input frames, sections of the vehicles are entered for training, the last Fully-connected layer is altered so that it only has two exit categories: Sections with scratches and without scratches. This project is mainly developed to minimize manpower and maximize automation on quality department in automobile industry. It is a computer vision project. It includes task such as acquiring, processing, analyzing and understanding digital images and extraction of high dimensional data. An image processing algorithm is used in order to manipulate an image to achieve an aesthetic standard and to provide a translation between the human visual system and digital imaging services.
Related Topics
Concepts
Acknowledgement
Scratch
Task (project management)
Computer science
Automation
Artificial intelligence
Image processing
Quality (philosophy)
Computer vision
Convolutional neural network
Engineering drawing
Engineering
Image (mathematics)
Operating system
Systems engineering
Computer security
Epistemology
Mechanical engineering
Philosophy
Metadata
- Type
- book-chapter
- Language
- en
- Landing Page
- https://doi.org/10.3233/apc200205
- https://ebooks.iospress.nl/pdf/doi/10.3233/APC200205
- OA Status
- diamond
- Cited By
- 10
- References
- 4
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3105651892
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3105651892Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3233/apc200205Digital Object Identifier
- Title
-
Scratch Detection in Cars Using Mask Region Convolution Neural NetworksWork title
- Type
-
book-chapterOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-11-10Full publication date if available
- Authors
-
K. Vijay, R. Vijayakumar, P. Sivaranjani, R. LogeshwariList of authors in order
- Landing page
-
https://doi.org/10.3233/apc200205Publisher landing page
- PDF URL
-
https://ebooks.iospress.nl/pdf/doi/10.3233/APC200205Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://ebooks.iospress.nl/pdf/doi/10.3233/APC200205Direct OA link when available
- Concepts
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Acknowledgement, Scratch, Task (project management), Computer science, Automation, Artificial intelligence, Image processing, Quality (philosophy), Computer vision, Convolutional neural network, Engineering drawing, Engineering, Image (mathematics), Operating system, Systems engineering, Computer security, Epistemology, Mechanical engineering, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 2, 2023: 6Per-year citation counts (last 5 years)
- References (count)
-
4Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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