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Durban University of Technology
The design of the frugal robot for detecting in-pipe corrosion in the oil and gas sector
Abstract
dc:descriptionA dissertation submitted in fulfilment of the requirement for the Master’s in Information and Communications Technology degree, Durban University of Technology, Durban, South Africa, 2026.
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Mthimkhulu, Zinhle
- Contributors dc:contributor
-
- Adebanjo, Hannah
- Adeliyi, Timothy T.
Subjects
dc:subject × 21- In-pipe inspection robot
- Frugal robotics
- Pipeline inspection
- Pipeline corrosion
- Corrosion monitoring
- Image processing
- Canny edge detection
- Sobel operator
- K-means clustering
- Convolutional neural network (CNN)
- Embedded systems
- Low-cost robotics
- Smart inspection
- Oil and gas pipelines
- South Africa
- Pipelines--Corrosion
- Pipelines
- Robots--Design and construction
- Deep learning (Machine learning)
- Computer vision
- Nondestructive testing
Rights
- Language dc:language
- en
Identifiers
dc:identifier.*- Identifier
- https://doi.org/10.51415/10321/6419
- OAI identifier oai:identifier
- oai:openscholar.dut.ac.za:10321/6419