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dc.contributor.author | Salman, Muhammad Reg # 57480 | |
dc.contributor.author | Zaheer, Nimra Reg # 57492 | |
dc.contributor.author | Khan, Jaweria Jamashed Reg # 57472 | |
dc.date.accessioned | 2023-03-13T06:13:08Z | |
dc.date.available | 2023-03-13T06:13:08Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | http://hdl.handle.net/123456789/15155 | |
dc.description | Supervised by Engr. Naveera Sami | en_US |
dc.description.abstract | Visual inspection is the most used method for quality control. It is used to observe the surface of an object and look for cracks, scratches and other physical defects. This technology aims to reduce the need for human intervention for inspection in large-scale factories. Through assessment frameworks, recognizing imperfections, abnormalities and other assembling defects can be efficiently distinguished. These examination frameworks are outfitted with a camera with video and lighting. This framework can get the information that assists with further developing productivity in assembling lines, arranging, pressing and different applications. Moreover, the data can recognize issues with assembling line or other capability in work to improve . effectiveness, stop incapable cycles, figure out unsatisfactory items. From Google search by image to complex industrial systems—machine vision is making lives easier. And it’s possible that very soon visual quality inspection tasks will be mostly machine-based, allowing humans to focus on more sophisticated tasks. The efficiency and productivity of global manufacturers will go to a new level because ofdeep learning and Computer vision. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Bahria University Karachi Campus | en_US |
dc.relation.ispartofseries | BCE;MFN BCE-69 | |
dc.title | VISUAL INSPECTION OF A PRODUCT FOR AUTOMOBILE INDUSTRY | en_US |
dc.type | Thesis | en_US |